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March 12, 2026 06:34
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Forenzična analiza pristnosti zvočnih posnetkov + ENF datumska verifikacija (Slovenija, marec 2026)
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# Forenzična analiza pristnosti zvočnih posnetkov\n", | |
| "## 9 testov za detekcijo AI-generiranega avdia in montaže\n", | |
| "\n", | |
| "**Avtor:** Niko Gamulin, PhD \n", | |
| "**Datum:** Marec 2026 \n", | |
| "**Licenca:** MIT \n", | |
| "\n", | |
| "---\n", | |
| "\n", | |
| "### Namen\n", | |
| "\n", | |
| "Ta beležnica izvede 9 forenzičnih testov na zvočnem posnetku, ki preverijo:\n", | |
| "1. Ali je posnetek telefonske ali širokopasovne kakovosti\n", | |
| "2. Ali šumno ozadje variira naravno ali je konstantno (kot pri AI)\n", | |
| "3. Ali so pavze v govoru naravno razporejene ali enakomerne (kot pri AI)\n", | |
| "4. Ali obstajajo znaki montaže (ostri rezi, fazni skoki)\n", | |
| "5. Ali je prisotna omrežna frekvenca 50 Hz (ENF) — dokaz, da je bil posnetek narejen v resničnem prostoru\n", | |
| "6. Ali je spektralna vsebina konsistentna skozi celoten posnetek\n", | |
| "7. Ali se kateri del posnetka ponavlja (copy-paste)\n", | |
| "8. Ali kvantizacija kaže znake sekundarne obdelave\n", | |
| "9. Transkripcija z Whisper (AI-generirani posnetki so tipično čistejši)\n", | |
| "\n", | |
| "### Kako uporabiti\n", | |
| "\n", | |
| "1. Prenesite posnetek (navodila spodaj)\n", | |
| "2. Pretvorite v WAV format\n", | |
| "3. Zaženite celice po vrsti\n", | |
| "\n", | |
| "### Zahteve\n", | |
| "\n", | |
| "```\n", | |
| "pip install numpy scipy matplotlib\n", | |
| "```\n", | |
| "\n", | |
| "Za transkripcijo (test 9, neobvezen):\n", | |
| "```\n", | |
| "pip install openai-whisper\n", | |
| "```" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## 0. Pridobitev podatkov\n", | |
| "\n", | |
| "### Zvočni posnetki\n", | |
| "\n", | |
| "Posnetki so bili objavljeni na Facebook strani **\"Padajo maske\"** (facebook.com/padajomaske). \n", | |
| "Prenos posameznih reelov s pomočjo `yt-dlp`:\n", | |
| "\n", | |
| "```bash\n", | |
| "# Namestitev yt-dlp\n", | |
| "pip install yt-dlp\n", | |
| "\n", | |
| "# Prenesi reel (zamenjaj URL z dejanskim)\n", | |
| "yt-dlp -o posnetek.mp4 \"https://www.facebook.com/reel/ID_REELA\"\n", | |
| "\n", | |
| "# Znani ID-ji reelov (marec 2026):\n", | |
| "# 2014942472766304 — Vuković, telefonski pogovor (~3:45)\n", | |
| "# 4231551883763416 — kratek posnetek (~1:39)\n", | |
| "# 927594666393968 — daljši posnetek (~10:10)\n", | |
| "# 3902728840020161 — posnetek (~4:30)\n", | |
| "# 754195097574466 — kratek posnetek (~0:27)\n", | |
| "```\n", | |
| "\n", | |
| "### Pretvorba v WAV\n", | |
| "\n", | |
| "```bash\n", | |
| "# Ekstrakcija avdio kanala v mono WAV pri 44100 Hz\n", | |
| "ffmpeg -i posnetek.mp4 -ac 1 -ar 44100 -vn posnetek_mono.wav\n", | |
| "```\n", | |
| "\n", | |
| "### Video Švarc Pipan\n", | |
| "\n", | |
| "Video je bil objavljen na portalu nadlani.si:\n", | |
| "```bash\n", | |
| "wget -O svarc_pipan.mp4 \"https://www.nadlani.si/uploads/2026/03/Domneven-posnetek-Svarc-Pipanove.mp4\"\n", | |
| "ffmpeg -i svarc_pipan.mp4 -ac 1 -ar 48000 -vn svarc_pipan_mono.wav\n", | |
| "```" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-03-12T06:22:50.735320Z", | |
| "iopub.status.busy": "2026-03-12T06:22:50.734904Z", | |
| "iopub.status.idle": "2026-03-12T06:22:51.131925Z", | |
| "shell.execute_reply": "2026-03-12T06:22:51.131564Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Datoteka: /tmp/fb_reel_audio.wav\n", | |
| "Vzorčna frekvenca: 44100 Hz\n", | |
| "Trajanje: 225.8 sekund (3.8 minut)\n", | |
| "Število vzorcev: 9,959,309\n" | |
| ] | |
| }, | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "/home/niko/.local/lib/python3.10/site-packages/matplotlib/projections/__init__.py:63: UserWarning: Unable to import Axes3D. This may be due to multiple versions of Matplotlib being installed (e.g. as a system package and as a pip package). As a result, the 3D projection is not available.\n", | |
| " warnings.warn(\"Unable to import Axes3D. This may be due to multiple versions of \"\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "import numpy as np\n", | |
| "from scipy.io import wavfile\n", | |
| "from scipy import signal\n", | |
| "import matplotlib.pyplot as plt\n", | |
| "\n", | |
| "# ============================================================\n", | |
| "# NASTAVITVE — prilagodite pot do vaše WAV datoteke\n", | |
| "# ============================================================\n", | |
| "WAV_DATOTEKA = \"posnetek_mono.wav\" # <-- zamenjajte s potjo do vašega posnetka\n", | |
| "# V tej izvedbi: Facebook reel 2014942472766304 (Vuković, 3:45)\n", | |
| "\n", | |
| "# Naložimo avdio\n", | |
| "sr, avdio = wavfile.read(WAV_DATOTEKA)\n", | |
| "avdio = avdio.astype(np.float64)\n", | |
| "trajanje = len(avdio) / sr\n", | |
| "\n", | |
| "print(f\"Datoteka: {WAV_DATOTEKA}\")\n", | |
| "print(f\"Vzorčna frekvenca: {sr} Hz\")\n", | |
| "print(f\"Trajanje: {trajanje:.1f} sekund ({trajanje/60:.1f} minut)\")\n", | |
| "print(f\"Število vzorcev: {len(avdio):,}\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Test 1: Pasovna širina\n", | |
| "\n", | |
| "### Zakaj je to pomembno?\n", | |
| "\n", | |
| "Telefonski kodeki (G.711, AMR) omejijo frekvenčni pas na ~300–3.400 Hz. \n", | |
| "AI sistemi za sintezo govora (ElevenLabs, XTTS, Bark, Tortoise) generirajo **širokopasovni avdio** (do 8–24 kHz). \n", | |
| "\n", | |
| "Če je 99% energije pod ~1.600 Hz → posnetek je telefonske kakovosti. \n", | |
| "Če je energija porazdeljena do 8+ kHz → ni telefonski posnetek (bodisi studijski, bodisi AI-generiran).\n", | |
| "\n", | |
| "### Interpretacija\n", | |
| "- **< 2.000 Hz pri 99%**: telefonska kakovost (G.711 ali VoIP s kompresijo)\n", | |
| "- **< 4.000 Hz pri 99%**: širokopasovni telefon (AMR-WB, VoLTE) ali lahka kompresija\n", | |
| "- **> 8.000 Hz pri 99%**: studijski posnetek ali AI-generirani avdio" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-03-12T06:22:51.145592Z", | |
| "iopub.status.busy": "2026-03-12T06:22:51.145441Z", | |
| "iopub.status.idle": "2026-03-12T06:22:56.367460Z", | |
| "shell.execute_reply": "2026-03-12T06:22:56.367024Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| " 90.0% energije pod 804 Hz\n", | |
| " 95.0% energije pod 831 Hz\n", | |
| " 99.0% energije pod 1276 Hz\n", | |
| " 99.9% energije pod 1609 Hz\n", | |
| "\n", | |
| " Energija nad 2000 Hz: 0.0288%\n", | |
| " Energija nad 3000 Hz: 0.0090%\n", | |
| " Energija nad 5000 Hz: 0.0013%\n", | |
| " Energija nad 8000 Hz: 0.0000%\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
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| |
| "text/plain": [ | |
| "<Figure size 1200x800 with 2 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "# === TEST 1: PASOVNA ŠIRINA ===\n", | |
| "\n", | |
| "# Izračunamo frekvenčni spekter celotnega posnetka\n", | |
| "frekvence = np.fft.rfftfreq(len(avdio), 1/sr)\n", | |
| "spekter = np.abs(np.fft.rfft(avdio))**2\n", | |
| "\n", | |
| "# Kumulativna porazdelitev energije\n", | |
| "kumulativna = np.cumsum(spekter) / np.sum(spekter)\n", | |
| "\n", | |
| "# Izpišemo ključne percentile\n", | |
| "for prag in [0.90, 0.95, 0.99, 0.999]:\n", | |
| " idx = np.searchsorted(kumulativna, prag)\n", | |
| " print(f\" {prag*100:.1f}% energije pod {frekvence[idx]:.0f} Hz\")\n", | |
| "\n", | |
| "# Delež energije nad različnimi mejami\n", | |
| "skupna = np.sum(spekter)\n", | |
| "print()\n", | |
| "for meja in [2000, 3000, 5000, 8000]:\n", | |
| " maska = frekvence > meja\n", | |
| " delez = np.sum(spekter[maska]) / skupna * 100\n", | |
| " print(f\" Energija nad {meja} Hz: {delez:.4f}%\")\n", | |
| "\n", | |
| "# Vizualizacija\n", | |
| "fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(12, 8))\n", | |
| "\n", | |
| "# Spekter moči\n", | |
| "ax1.semilogy(frekvence, spekter, linewidth=0.3, color='#2c3e50')\n", | |
| "ax1.axvline(x=1600, color='#e74c3c', linestyle='--', label='Telefonska meja (~1.600 Hz)')\n", | |
| "ax1.axvline(x=3400, color='#f39c12', linestyle='--', label='G.711 meja (~3.400 Hz)')\n", | |
| "ax1.set_xlabel('Frekvenca (Hz)')\n", | |
| "ax1.set_ylabel('Moč (log)')\n", | |
| "ax1.set_title('Spekter moči posnetka')\n", | |
| "ax1.legend()\n", | |
| "ax1.set_xlim(0, min(sr/2, 10000))\n", | |
| "\n", | |
| "# Kumulativna porazdelitev\n", | |
| "ax2.plot(frekvence, kumulativna, color='#2c3e50', linewidth=1.5)\n", | |
| "ax2.axhline(y=0.99, color='#e74c3c', linestyle='--', alpha=0.5, label='99%')\n", | |
| "ax2.axhline(y=0.999, color='#f39c12', linestyle='--', alpha=0.5, label='99,9%')\n", | |
| "ax2.set_xlabel('Frekvenca (Hz)')\n", | |
| "ax2.set_ylabel('Kumulativni delež energije')\n", | |
| "ax2.set_title('Kumulativna porazdelitev frekvenčne energije')\n", | |
| "ax2.legend()\n", | |
| "ax2.set_xlim(0, 5000)\n", | |
| "\n", | |
| "plt.tight_layout()\n", | |
| "plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Test 2: Šumno ozadje\n", | |
| "\n", | |
| "### Zakaj je to pomembno?\n", | |
| "\n", | |
| "V resničnem prostoru se okoliški šum spreminja — nekdo se premakne, odpre vrata, mimo gre avto. \n", | |
| "AI-generirani posnetki imajo tipično **konstantno šumno ozadje**, ker model generira šum enakomerno.\n", | |
| "\n", | |
| "### Interpretacija\n", | |
| "- **Variacija RMS > 50%**: naravno okolje (spremenljiv šum)\n", | |
| "- **Variacija RMS < 10%**: sumljivo — konsistentno z AI ali studijskim posnetkom\n", | |
| "- **Spektralni centroid se spreminja**: naravno (različni viri šuma v različnih trenutkih)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-03-12T06:22:56.368906Z", | |
| "iopub.status.busy": "2026-03-12T06:22:56.368796Z", | |
| "iopub.status.idle": "2026-03-12T06:22:56.623814Z", | |
| "shell.execute_reply": "2026-03-12T06:22:56.623332Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Segment Šum RMS Spektr. centroid \n", | |
| "=============================================\n", | |
| " 0– 30 s 3991.5 551.5 Hz\n", | |
| " 30– 60 s 2823.9 498.8 Hz\n", | |
| " 60– 90 s 2953.7 500.7 Hz\n", | |
| " 90–120 s 3402.1 570.1 Hz\n", | |
| " 120–150 s 3620.1 597.5 Hz\n", | |
| " 150–180 s 2759.4 561.8 Hz\n", | |
| " 180–210 s 4433.5 598.5 Hz\n", | |
| "\n", | |
| "Variacija šumnega ozadja: 48.9%\n", | |
| " Min RMS: 2759.4\n", | |
| " Max RMS: 4433.5\n", | |
| " Razmerje max/min: 1.61x\n", | |
| "\n", | |
| "⚠ Šumno ozadje je razmeroma konstantno — preverite druge kazalnike.\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
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", | |
| "text/plain": [ | |
| "<Figure size 1200x600 with 2 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "# === TEST 2: ŠUMNO OZADJE ===\n", | |
| "\n", | |
| "# Razdelimo posnetek na 30-sekundne segmente\n", | |
| "velikost_segmenta = 30 # sekund\n", | |
| "n_segmentov = int(trajanje // velikost_segmenta)\n", | |
| "\n", | |
| "sum_rms = []\n", | |
| "sum_centroid = []\n", | |
| "\n", | |
| "print(f\"{'Segment':<15} {'Šum RMS':<12} {'Spektr. centroid':<18}\")\n", | |
| "print(\"=\" * 45)\n", | |
| "\n", | |
| "for i in range(n_segmentov):\n", | |
| " zacetek = i * velikost_segmenta * sr\n", | |
| " konec = (i + 1) * velikost_segmenta * sr\n", | |
| " segment = avdio[zacetek:konec]\n", | |
| " \n", | |
| " # RMS šumnega ozadja\n", | |
| " rms = np.sqrt(np.mean(segment**2))\n", | |
| " sum_rms.append(rms)\n", | |
| " \n", | |
| " # Spektralni centroid (utežena srednja frekvenca)\n", | |
| " f_seg = np.fft.rfftfreq(len(segment), 1/sr)\n", | |
| " sp_seg = np.abs(np.fft.rfft(segment))**2\n", | |
| " centroid = np.sum(f_seg * sp_seg) / (np.sum(sp_seg) + 1e-20)\n", | |
| " sum_centroid.append(centroid)\n", | |
| " \n", | |
| " print(f\" {i*velikost_segmenta:3d}–{(i+1)*velikost_segmenta:3d} s {rms:8.1f} {centroid:8.1f} Hz\")\n", | |
| "\n", | |
| "sum_rms = np.array(sum_rms)\n", | |
| "variacija_rms = (np.max(sum_rms) - np.min(sum_rms)) / np.mean(sum_rms) * 100\n", | |
| "\n", | |
| "print(f\"\\nVariacija šumnega ozadja: {variacija_rms:.1f}%\")\n", | |
| "print(f\" Min RMS: {np.min(sum_rms):.1f}\")\n", | |
| "print(f\" Max RMS: {np.max(sum_rms):.1f}\")\n", | |
| "print(f\" Razmerje max/min: {np.max(sum_rms)/np.min(sum_rms):.2f}x\")\n", | |
| "\n", | |
| "if variacija_rms > 50:\n", | |
| " print(\"\\n✓ Šumno ozadje variira naravno — konsistentno z resničnim posnetkom.\")\n", | |
| "else:\n", | |
| " print(\"\\n⚠ Šumno ozadje je razmeroma konstantno — preverite druge kazalnike.\")\n", | |
| "\n", | |
| "# Vizualizacija\n", | |
| "fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(12, 6))\n", | |
| "cas = np.arange(n_segmentov) * velikost_segmenta + velikost_segmenta/2\n", | |
| "ax1.bar(cas, sum_rms, width=velikost_segmenta*0.8, color='#3498db', alpha=0.8)\n", | |
| "ax1.set_xlabel('Čas (s)')\n", | |
| "ax1.set_ylabel('RMS šuma')\n", | |
| "ax1.set_title('Šumno ozadje po segmentih')\n", | |
| "\n", | |
| "ax2.plot(cas, sum_centroid, 'o-', color='#e67e22')\n", | |
| "ax2.set_xlabel('Čas (s)')\n", | |
| "ax2.set_ylabel('Spektralni centroid (Hz)')\n", | |
| "ax2.set_title('Spektralni centroid šuma po segmentih')\n", | |
| "\n", | |
| "plt.tight_layout()\n", | |
| "plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Test 3: Pavze v govoru\n", | |
| "\n", | |
| "### Zakaj je to pomembno?\n", | |
| "\n", | |
| "Naravni govor ima **kaotične** pavze — veliko kratkih, občasne dolge, z visoko variabilnostjo. \n", | |
| "AI-generirani govor ima pavze bolj **enakomerne** — model generira ritmično.\n", | |
| "\n", | |
| "### Ključna metrika: koeficient variacije (CV)\n", | |
| "- **CV > 1,0**: zelo variabilne pavze → naravni govor\n", | |
| "- **CV 0,5–1,0**: zmerna variabilnost → nejasno\n", | |
| "- **CV < 0,5**: enakomerne pavze → sumljivo, konsistentno z AI" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-03-12T06:22:56.625186Z", | |
| "iopub.status.busy": "2026-03-12T06:22:56.625078Z", | |
| "iopub.status.idle": "2026-03-12T06:22:56.799510Z", | |
| "shell.execute_reply": "2026-03-12T06:22:56.799314Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Število zaznanih pavz: 1\n", | |
| "Povprečno trajanje: 180.0 ms\n", | |
| "Mediana: 180.0 ms\n", | |
| "Standardni odklon: 0.0 ms\n", | |
| "Koeficient variacije (CV): 0.000\n", | |
| "Asimetrija (skewness): 0.0\n", | |
| "\n", | |
| "⚠ CV = 0.00 < 0,5 → pavze so enakomerne → SUMLJIVO (konsistentno z AI)\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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| |
| "text/plain": [ | |
| "<Figure size 1400x500 with 2 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "# === TEST 3: PAVZE V GOVORU ===\n", | |
| "\n", | |
| "# Definiramo pavzo kot odsek, kjer je RMS pod pragom\n", | |
| "# Uporabljamo kratka okna (10 ms)\n", | |
| "velikost_okna = int(0.01 * sr) # 10 ms\n", | |
| "n_oken = len(avdio) // velikost_okna\n", | |
| "\n", | |
| "# Izračunamo RMS za vsako okno\n", | |
| "okna_rms = np.array([\n", | |
| " np.sqrt(np.mean(avdio[i*velikost_okna:(i+1)*velikost_okna]**2))\n", | |
| " for i in range(n_oken)\n", | |
| "])\n", | |
| "\n", | |
| "# Prag za tišino: 10% mediane RMS\n", | |
| "prag_tisine = 0.1 * np.median(okna_rms)\n", | |
| "\n", | |
| "# Najdemo pavze (zaporedna okna pod pragom)\n", | |
| "je_tisina = okna_rms < prag_tisine\n", | |
| "pavze = []\n", | |
| "trajanje_pavze = 0\n", | |
| "\n", | |
| "for i in range(len(je_tisina)):\n", | |
| " if je_tisina[i]:\n", | |
| " trajanje_pavze += 1\n", | |
| " else:\n", | |
| " if trajanje_pavze > 0:\n", | |
| " pavze.append(trajanje_pavze * 0.01) # pretvorba v sekunde\n", | |
| " trajanje_pavze = 0\n", | |
| "\n", | |
| "if trajanje_pavze > 0:\n", | |
| " pavze.append(trajanje_pavze * 0.01)\n", | |
| "\n", | |
| "pavze = np.array(pavze)\n", | |
| "\n", | |
| "# Filtriramo zelo kratke pavze (< 30 ms) — to je šum, ne prave pavze\n", | |
| "pavze = pavze[pavze >= 0.03]\n", | |
| "\n", | |
| "if len(pavze) > 0:\n", | |
| " povprecje = np.mean(pavze)\n", | |
| " mediana = np.median(pavze)\n", | |
| " std = np.std(pavze)\n", | |
| " cv = std / povprecje # koeficient variacije\n", | |
| " asimetrija = float(np.mean(((pavze - povprecje) / std)**3)) if std > 0 else 0\n", | |
| " \n", | |
| " print(f\"Število zaznanih pavz: {len(pavze)}\")\n", | |
| " print(f\"Povprečno trajanje: {povprecje*1000:.1f} ms\")\n", | |
| " print(f\"Mediana: {mediana*1000:.1f} ms\")\n", | |
| " print(f\"Standardni odklon: {std*1000:.1f} ms\")\n", | |
| " print(f\"Koeficient variacije (CV): {cv:.3f}\")\n", | |
| " print(f\"Asimetrija (skewness): {asimetrija:.1f}\")\n", | |
| " \n", | |
| " if cv > 1.0:\n", | |
| " print(f\"\\n✓ CV = {cv:.2f} > 1,0 → pavze so zelo variabilne → NARAVNI GOVOR\")\n", | |
| " elif cv > 0.5:\n", | |
| " print(f\"\\n~ CV = {cv:.2f} (0,5–1,0) → zmerna variabilnost → neodločeno\")\n", | |
| " else:\n", | |
| " print(f\"\\n⚠ CV = {cv:.2f} < 0,5 → pavze so enakomerne → SUMLJIVO (konsistentno z AI)\")\n", | |
| "\n", | |
| " # Vizualizacija porazdelitve pavz\n", | |
| " fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(14, 5))\n", | |
| " \n", | |
| " ax1.hist(pavze * 1000, bins=50, color='#2ecc71', edgecolor='#27ae60', alpha=0.8)\n", | |
| " ax1.axvline(x=povprecje*1000, color='#e74c3c', linestyle='--', label=f'Povprečje: {povprecje*1000:.0f} ms')\n", | |
| " ax1.axvline(x=mediana*1000, color='#3498db', linestyle='--', label=f'Mediana: {mediana*1000:.0f} ms')\n", | |
| " ax1.set_xlabel('Trajanje pavze (ms)')\n", | |
| " ax1.set_ylabel('Število')\n", | |
| " ax1.set_title(f'Porazdelitev pavz (CV = {cv:.2f})')\n", | |
| " ax1.legend()\n", | |
| " \n", | |
| " # Box plot\n", | |
| " ax2.boxplot(pavze * 1000, vert=True)\n", | |
| " ax2.set_ylabel('Trajanje pavze (ms)')\n", | |
| " ax2.set_title('Razpršenost pavz')\n", | |
| " \n", | |
| " plt.tight_layout()\n", | |
| " plt.show()\n", | |
| "else:\n", | |
| " print(\"Ni zaznanih pavz — preverite prag tišine.\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Test 4: Fazna zveznost (detekcija rezov / montaže)\n", | |
| "\n", | |
| "### Zakaj je to pomembno?\n", | |
| "\n", | |
| "Ko nekdo izreže del posnetka ali zlepi dva posnetka skupaj, na mestu reza nastane **fazni skok**. \n", | |
| "Signal pred rezom ima neko fazo, signal po rezu pa se začne z drugo fazo. \n", | |
| "Z analitičnim signalom (Hilbertova transformacija) lahko izmerimo te skoke.\n", | |
| "\n", | |
| "### Interpretacija\n", | |
| "- **Fazni skok < 0,1 rad**: normalno — brez znakov reza\n", | |
| "- **Fazni skok > 0,5 rad**: sumljivo — možen rez ali montaža\n", | |
| "- **Fazni skok > π rad**: zelo verjetno rez" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-03-12T06:22:56.800918Z", | |
| "iopub.status.busy": "2026-03-12T06:22:56.800818Z", | |
| "iopub.status.idle": "2026-03-12T06:22:59.643256Z", | |
| "shell.execute_reply": "2026-03-12T06:22:59.642937Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Potencialne točke rezov (energijski skoki > 3σ): 11\n" | |
| ] | |
| }, | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "\n", | |
| "Čas (s) ΔE Fazni skok (rad) Ocena \n", | |
| "=======================================================\n", | |
| " 15 5629.4 0.0029 ✓ OK\n", | |
| " 29 4957.3 0.2170 ⚠ Sumljivo\n", | |
| " 90 5015.9 0.0669 ✓ OK\n", | |
| " 95 4976.5 0.1026 ⚠ Sumljivo\n", | |
| " 145 5270.9 0.0491 ✓ OK\n", | |
| " 169 4535.7 0.2794 ⚠ Sumljivo\n", | |
| " 179 5013.3 0.0944 ✓ OK\n", | |
| " 188 5237.3 0.0692 ✓ OK\n", | |
| " 203 6417.2 0.0066 ✓ OK\n", | |
| " 205 5194.9 0.1211 ⚠ Sumljivo\n", | |
| " 208 4675.9 0.1142 ⚠ Sumljivo\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# === TEST 4: FAZNA ZVEZNOST (detekcija rezov) ===\n", | |
| "\n", | |
| "# Poiščemo potencialne točke rezov:\n", | |
| "# mesta, kjer se energija nenadoma spremeni\n", | |
| "velikost_okvira = sr # 1-sekundni okviri\n", | |
| "n_okvirov = len(avdio) // velikost_okvira\n", | |
| "energija = np.array([\n", | |
| " np.sqrt(np.mean(avdio[i*velikost_okvira:(i+1)*velikost_okvira]**2))\n", | |
| " for i in range(n_okvirov)\n", | |
| "])\n", | |
| "\n", | |
| "# Najdemo mesta z velikimi energijskimi skoki\n", | |
| "energija_diff = np.abs(np.diff(energija))\n", | |
| "prag_energije = 3 * np.std(energija_diff) # 3-sigma\n", | |
| "potencialni_rezi = np.where(energija_diff > prag_energije)[0]\n", | |
| "\n", | |
| "print(f\"Potencialne točke rezov (energijski skoki > 3σ): {len(potencialni_rezi)}\")\n", | |
| "\n", | |
| "# Izračunamo fazno zveznost na vsaki potencialni točki\n", | |
| "# Uporabimo Hilbertovo transformacijo\n", | |
| "analitik = signal.hilbert(avdio)\n", | |
| "faza = np.unwrap(np.angle(analitik))\n", | |
| "\n", | |
| "print(f\"\\n{'Čas (s)':<10} {'ΔE':<12} {'Fazni skok (rad)':<20} {'Ocena':<15}\")\n", | |
| "print(\"=\" * 55)\n", | |
| "\n", | |
| "for idx in potencialni_rezi:\n", | |
| " cas_s = idx # sekunde\n", | |
| " vzorec = idx * velikost_okvira\n", | |
| " \n", | |
| " if vzorec > 100 and vzorec < len(faza) - 100:\n", | |
| " faza_pred = faza[vzorec - 100:vzorec]\n", | |
| " faza_po = faza[vzorec:vzorec + 100]\n", | |
| " fazni_skok = abs(faza_po[0] - faza_pred[-1])\n", | |
| " \n", | |
| " # Normaliziramo na [0, π]\n", | |
| " fazni_skok = fazni_skok % (2 * np.pi)\n", | |
| " if fazni_skok > np.pi:\n", | |
| " fazni_skok = 2 * np.pi - fazni_skok\n", | |
| " \n", | |
| " ocena = \"✓ OK\" if fazni_skok < 0.1 else (\"⚠ Sumljivo\" if fazni_skok < 0.5 else \"✗ REZ?\")\n", | |
| " print(f\" {cas_s:<8d} {energija_diff[idx]:<12.1f} {fazni_skok:<20.4f} {ocena}\")\n", | |
| "\n", | |
| "if len(potencialni_rezi) == 0:\n", | |
| " print(\"Ni zaznanih energijskih skokov — posnetek je energijsko zvezen.\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Test 5: Omrežna frekvenca (ENF)\n", | |
| "\n", | |
| "### Zakaj je to pomembno?\n", | |
| "\n", | |
| "V vsakem prostoru z električno napeljavo je prisotno elektromagnetno brnenje pri **50 Hz** (v Evropi). \n", | |
| "Mikrofon to brnenje zajame in zapiše v posnetek — čeprav ga človek ne sliši.\n", | |
| "\n", | |
| "AI-generirani posnetki **NE** vsebujejo omrežne frekvence, ker umetna inteligenca ne simulira \n", | |
| "fizičnega elektromagnetnega okolja. Prisotnost ENF je zato **močan indikator resničnega posnetka**.\n", | |
| "\n", | |
| "Preverimo signal pri 50 Hz in njegovih **harmonikih** (celoštevilčnih večkratnikih): \n", | |
| "100 Hz (2. harmonik), 150 Hz (3.), 200 Hz (4.), 250 Hz (5.). \n", | |
| "Harmoniki nastanejo zaradi nelinearnosti v električnih napravah in so pogosto močnejši od osnovne frekvence.\n", | |
| "\n", | |
| "### Metrika: razmerje signal/šum (SNR)\n", | |
| "- **SNR > 5x**: jasen signal — ENF prisoten → posnetek iz resničnega prostora\n", | |
| "- **SNR 2–5x**: šibek signal — ENF verjetno prisoten\n", | |
| "- **SNR < 1,5x**: brez signala — ENF ni zaznan (NE pomeni nujno AI; lahko je zunaj ali v avtu)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-03-12T06:22:59.644698Z", | |
| "iopub.status.busy": "2026-03-12T06:22:59.644593Z", | |
| "iopub.status.idle": "2026-03-12T06:23:09.494075Z", | |
| "shell.execute_reply": "2026-03-12T06:23:09.493569Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Harmonik SNR Frekvenca vrha Ocena \n", | |
| "============================================================\n" | |
| ] | |
| }, | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| " 50 Hz 7.05 45.98 ✓ JASEN signal\n" | |
| ] | |
| }, | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| " 100 Hz 3.29 104.39 ~ Šibek signal\n" | |
| ] | |
| }, | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| " 150 Hz 4.24 152.37 ~ Šibek signal\n" | |
| ] | |
| }, | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| " 200 Hz 4.27 202.20 ~ Šibek signal\n" | |
| ] | |
| }, | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| " 250 Hz 3.20 251.29 ~ Šibek signal\n", | |
| "\n", | |
| "Najboljši harmonik: 50 Hz (SNR = 7.0x)\n", | |
| "\n", | |
| "✓ ENF jasno prisoten → posnetek je bil narejen v prostoru z električno napeljavo.\n", | |
| " AI-generirani posnetki NE vsebujejo omrežne frekvence.\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
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", | |
| "text/plain": [ | |
| "<Figure size 2000x400 with 5 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "# === TEST 5: OMREŽNA FREKVENCA (ENF) ===\n", | |
| "\n", | |
| "def izmeri_enf_snr(avdio, sr, ciljna_frekvenca, sirina_pasu=5):\n", | |
| " \"\"\"\n", | |
| " Izmeri razmerje signal/šum pri dani frekvenci.\n", | |
| " \n", | |
| " Parametri:\n", | |
| " avdio: zvočni signal\n", | |
| " sr: vzorčna frekvenca\n", | |
| " ciljna_frekvenca: frekvenca za preverjanje (npr. 50, 100, 200 Hz)\n", | |
| " sirina_pasu: širina pasu za iskanje vrha (Hz)\n", | |
| " \n", | |
| " Vrne:\n", | |
| " snr: razmerje signal/šum\n", | |
| " vrh_frekvenca: dejanska frekvenca vrha\n", | |
| " \"\"\"\n", | |
| " # Fourierjeva transformacija\n", | |
| " n = len(avdio)\n", | |
| " frekvence = np.fft.rfftfreq(n, 1/sr)\n", | |
| " spekter = np.abs(np.fft.rfft(avdio))\n", | |
| " \n", | |
| " # Poiščemo vrh v bližini ciljne frekvence\n", | |
| " maska = (frekvence >= ciljna_frekvenca - sirina_pasu) & (frekvence <= ciljna_frekvenca + sirina_pasu)\n", | |
| " if not np.any(maska):\n", | |
| " return 0, ciljna_frekvenca\n", | |
| " \n", | |
| " vrh_idx_v_maski = np.argmax(spekter[maska])\n", | |
| " vrh_vrednost = spekter[maska][vrh_idx_v_maski]\n", | |
| " vrh_frekvenca = frekvence[maska][vrh_idx_v_maski]\n", | |
| " \n", | |
| " # Šum: mediana spektra v okolici (30 Hz pas, brez vrha)\n", | |
| " okolica = (frekvence >= ciljna_frekvenca - 30) & (frekvence <= ciljna_frekvenca + 30)\n", | |
| " sum_spekter = spekter[okolica]\n", | |
| " sum_mediana = np.median(sum_spekter)\n", | |
| " \n", | |
| " snr = vrh_vrednost / (sum_mediana + 1e-20)\n", | |
| " return snr, vrh_frekvenca\n", | |
| "\n", | |
| "# Preverimo 50 Hz in harmonike\n", | |
| "harmoniki = [50, 100, 150, 200, 250]\n", | |
| "print(f\"{'Harmonik':<12} {'SNR':<10} {'Frekvenca vrha':<18} {'Ocena':<20}\")\n", | |
| "print(\"=\" * 60)\n", | |
| "\n", | |
| "najboljsi_snr = 0\n", | |
| "najboljsi_harmonik = 50\n", | |
| "\n", | |
| "for h in harmoniki:\n", | |
| " snr, vrh_f = izmeri_enf_snr(avdio, sr, h)\n", | |
| " \n", | |
| " if snr > najboljsi_snr:\n", | |
| " najboljsi_snr = snr\n", | |
| " najboljsi_harmonik = h\n", | |
| " \n", | |
| " if snr > 5:\n", | |
| " ocena = \"✓ JASEN signal\"\n", | |
| " elif snr > 2:\n", | |
| " ocena = \"~ Šibek signal\"\n", | |
| " else:\n", | |
| " ocena = \"✗ Ni signala\"\n", | |
| " \n", | |
| " print(f\" {h:>3d} Hz {snr:<10.2f} {vrh_f:<18.2f} {ocena}\")\n", | |
| "\n", | |
| "print(f\"\\nNajboljši harmonik: {najboljsi_harmonik} Hz (SNR = {najboljsi_snr:.1f}x)\")\n", | |
| "\n", | |
| "if najboljsi_snr > 5:\n", | |
| " print(\"\\n✓ ENF jasno prisoten → posnetek je bil narejen v prostoru z električno napeljavo.\")\n", | |
| " print(\" AI-generirani posnetki NE vsebujejo omrežne frekvence.\")\n", | |
| "elif najboljsi_snr > 2:\n", | |
| " print(\"\\n~ ENF šibko prisoten → verjetno realen prostor, a signal prešibek za datumsko verifikacijo.\")\n", | |
| "else:\n", | |
| " print(\"\\n⚠ ENF ni zaznan. To NE pomeni nujno AI — posnetek je lahko bil narejen zunaj ali v avtu.\")\n", | |
| "\n", | |
| "# Vizualizacija: spekter okoli 50 Hz in harmonikov\n", | |
| "fig, axes = plt.subplots(1, len(harmoniki), figsize=(20, 4))\n", | |
| "frekvence_viz = np.fft.rfftfreq(len(avdio), 1/sr)\n", | |
| "spekter_viz = np.abs(np.fft.rfft(avdio))\n", | |
| "\n", | |
| "for i, h in enumerate(harmoniki):\n", | |
| " maska = (frekvence_viz >= h - 15) & (frekvence_viz <= h + 15)\n", | |
| " axes[i].plot(frekvence_viz[maska], spekter_viz[maska], color='#2c3e50', linewidth=0.8)\n", | |
| " axes[i].axvline(x=h, color='#e74c3c', linestyle='--', alpha=0.5)\n", | |
| " axes[i].set_title(f'{h} Hz')\n", | |
| " axes[i].set_xlabel('Hz')\n", | |
| "\n", | |
| "plt.suptitle('Spekter okoli ENF harmonikov', y=1.02)\n", | |
| "plt.tight_layout()\n", | |
| "plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Test 6: Spektralna konsistentnost\n", | |
| "\n", | |
| "### Zakaj je to pomembno?\n", | |
| "\n", | |
| "Če je posnetek sestavljen iz več ločenih posnetkov (montaža), ima vsak del **drugačno spektralno podpis**. \n", | |
| "Nenaden skok spektralnega centroida (utežene srednje frekvence) kaže na mejo med dvema posnetkoma.\n", | |
| "\n", | |
| "### Interpretacija\n", | |
| "- **Postopen prehod centroida**: naravno (govorec spreminja ton, glasnost)\n", | |
| "- **Nenaden skok > 300 Hz**: sumljivo — preveriti ali gre za mejo govorca ali montažo" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-03-12T06:23:09.495471Z", | |
| "iopub.status.busy": "2026-03-12T06:23:09.495388Z", | |
| "iopub.status.idle": "2026-03-12T06:23:09.673968Z", | |
| "shell.execute_reply": "2026-03-12T06:23:09.673776Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Spektralni centroid: povprečje = 612.6 Hz, std = 183.3 Hz\n", | |
| "\n", | |
| "Skoki > 300 Hz:\n", | |
| " t = 1 s: skok 391.0 Hz (338 → 729 Hz)\n", | |
| " t = 6 s: skok 344.8 Hz (694 → 349 Hz)\n", | |
| " t = 8 s: skok 319.4 Hz (330 → 650 Hz)\n", | |
| " t = 22 s: skok 520.3 Hz (895 → 375 Hz)\n", | |
| " t = 32 s: skok 359.4 Hz (674 → 315 Hz)\n", | |
| " t = 60 s: skok 468.6 Hz (436 → 904 Hz)\n", | |
| " t = 61 s: skok 482.6 Hz (904 → 422 Hz)\n", | |
| " t = 83 s: skok 338.3 Hz (694 → 355 Hz)\n", | |
| " t = 87 s: skok 403.8 Hz (500 → 904 Hz)\n", | |
| " t = 88 s: skok 425.2 Hz (904 → 478 Hz)\n", | |
| " t = 94 s: skok 518.5 Hz (422 → 941 Hz)\n", | |
| " t = 95 s: skok 524.5 Hz (941 → 416 Hz)\n", | |
| " t = 97 s: skok 305.4 Hz (334 → 639 Hz)\n", | |
| " t = 101 s: skok 304.4 Hz (460 → 765 Hz)\n", | |
| " t = 118 s: skok 364.3 Hz (407 → 771 Hz)\n", | |
| " t = 125 s: skok 382.9 Hz (413 → 796 Hz)\n", | |
| " t = 126 s: skok 327.6 Hz (796 → 468 Hz)\n", | |
| " t = 133 s: skok 321.9 Hz (457 → 779 Hz)\n", | |
| " t = 134 s: skok 427.7 Hz (779 → 352 Hz)\n", | |
| " t = 135 s: skok 354.5 Hz (352 → 706 Hz)\n", | |
| " t = 150 s: skok 534.3 Hz (1011 → 477 Hz)\n", | |
| " t = 154 s: skok 562.3 Hz (409 → 971 Hz)\n", | |
| " t = 165 s: skok 305.6 Hz (844 → 538 Hz)\n", | |
| " t = 173 s: skok 368.0 Hz (858 → 490 Hz)\n", | |
| " t = 180 s: skok 319.5 Hz (728 → 408 Hz)\n", | |
| " t = 185 s: skok 341.2 Hz (740 → 399 Hz)\n", | |
| " t = 191 s: skok 579.3 Hz (970 → 391 Hz)\n", | |
| " t = 209 s: skok 338.6 Hz (528 → 866 Hz)\n", | |
| "\n", | |
| "⚠ Zaznanih 28 spektralnih skokov — preverite kontekst (menjava govorca vs. montaža).\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
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", | |
| "text/plain": [ | |
| "<Figure size 1400x400 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "# === TEST 6: SPEKTRALNA KONSISTENTNOST ===\n", | |
| "\n", | |
| "# Izračunamo spektralni centroid za vsako sekundo\n", | |
| "centroidi = []\n", | |
| "for i in range(int(trajanje)):\n", | |
| " segment = avdio[i*sr:(i+1)*sr]\n", | |
| " if len(segment) < sr:\n", | |
| " continue\n", | |
| " f_seg = np.fft.rfftfreq(len(segment), 1/sr)\n", | |
| " sp_seg = np.abs(np.fft.rfft(segment))**2\n", | |
| " centroid = np.sum(f_seg * sp_seg) / (np.sum(sp_seg) + 1e-20)\n", | |
| " centroidi.append(centroid)\n", | |
| "\n", | |
| "centroidi = np.array(centroidi)\n", | |
| "\n", | |
| "# Najdemo skoke\n", | |
| "centroid_diff = np.abs(np.diff(centroidi))\n", | |
| "prag_skoka = 300 # Hz\n", | |
| "\n", | |
| "print(f\"Spektralni centroid: povprečje = {np.mean(centroidi):.1f} Hz, std = {np.std(centroidi):.1f} Hz\")\n", | |
| "print(f\"\\nSkoki > {prag_skoka} Hz:\")\n", | |
| "\n", | |
| "skoki = np.where(centroid_diff > prag_skoka)[0]\n", | |
| "if len(skoki) > 0:\n", | |
| " for s in skoki:\n", | |
| " print(f\" t = {s} s: skok {centroid_diff[s]:.1f} Hz ({centroidi[s]:.0f} → {centroidi[s+1]:.0f} Hz)\")\n", | |
| " print(f\"\\n⚠ Zaznanih {len(skoki)} spektralnih skokov — preverite kontekst (menjava govorca vs. montaža).\")\n", | |
| "else:\n", | |
| " print(\" Ni velikih spektralnih skokov.\")\n", | |
| " print(\"\\n✓ Spektralna vsebina je konsistentna — brez znakov lepljenja različnih posnetkov.\")\n", | |
| "\n", | |
| "# Vizualizacija\n", | |
| "plt.figure(figsize=(14, 4))\n", | |
| "plt.plot(centroidi, color='#8e44ad', linewidth=0.8)\n", | |
| "plt.axhline(y=np.mean(centroidi), color='#e74c3c', linestyle='--', alpha=0.5,\n", | |
| " label=f'Povprečje: {np.mean(centroidi):.0f} Hz')\n", | |
| "for s in skoki:\n", | |
| " plt.axvline(x=s, color='#e74c3c', linewidth=2, alpha=0.5)\n", | |
| "plt.xlabel('Čas (s)')\n", | |
| "plt.ylabel('Spektralni centroid (Hz)')\n", | |
| "plt.title('Spektralna konsistentnost posnetka')\n", | |
| "plt.legend()\n", | |
| "plt.tight_layout()\n", | |
| "plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Test 7: Ponavljajoči vzorci (copy-paste)\n", | |
| "\n", | |
| "### Zakaj je to pomembno?\n", | |
| "\n", | |
| "Ena od tehnik manipulacije je kopiranje delov posnetka in vstavljanje na druga mesta. \n", | |
| "Iščemo pare 1-sekundnih odsekov, ki so visoko korelirani, a niso sosednji (ker bi bili sosednji \n", | |
| "podobni samo zaradi naravne kontinuitete govora).\n", | |
| "\n", | |
| "### Interpretacija\n", | |
| "- **0 parov s korelacijo > 0,7 (ne-sosednji)**: brez znakov copy-paste\n", | |
| "- **Pari s korelacijo > 0,7**: sumljivo — preveriti ali gre za refren/ponavljanje ali za montažo" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-03-12T06:23:09.675039Z", | |
| "iopub.status.busy": "2026-03-12T06:23:09.674961Z", | |
| "iopub.status.idle": "2026-03-12T06:23:10.003710Z", | |
| "shell.execute_reply": "2026-03-12T06:23:10.003397Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Preverjam 24075 parov odsekov...\n" | |
| ] | |
| }, | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "\n", | |
| "Število parov s korelacijo > 0.7: 0\n", | |
| "\n", | |
| "✓ Nobena 1-sekundna sekcija se ne ponavlja drugje v posnetku.\n", | |
| " Brez znakov kopiranja in lepljenja (copy-paste montaže).\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# === TEST 7: PONAVLJAJOČI VZORCI ===\n", | |
| "\n", | |
| "# Razrežemo posnetek na 1-sekundne odseke\n", | |
| "n_odsekov = int(trajanje)\n", | |
| "odseki = []\n", | |
| "for i in range(n_odsekov):\n", | |
| " odsek = avdio[i*sr:(i+1)*sr]\n", | |
| " if len(odsek) == sr:\n", | |
| " # Normaliziramo\n", | |
| " std = np.std(odsek)\n", | |
| " if std > 0:\n", | |
| " odseki.append((odsek - np.mean(odsek)) / std)\n", | |
| " else:\n", | |
| " odseki.append(np.zeros(sr))\n", | |
| "\n", | |
| "# Izračunamo navzkrižno korelacijo med vsemi ne-sosednjimi pari\n", | |
| "prag_korelacije = 0.7\n", | |
| "min_razdalja = 5 # sekund — pari morajo biti vsaj 5 s narazen\n", | |
| "sumljivi_pari = []\n", | |
| "\n", | |
| "n = len(odseki)\n", | |
| "print(f\"Preverjam {n*(n-1)//2 - n*min_razdalja} parov odsekov...\")\n", | |
| "\n", | |
| "for i in range(n):\n", | |
| " for j in range(i + min_razdalja, n):\n", | |
| " r = np.dot(odseki[i], odseki[j]) / sr\n", | |
| " if r > prag_korelacije:\n", | |
| " sumljivi_pari.append((i, j, r))\n", | |
| "\n", | |
| "print(f\"\\nŠtevilo parov s korelacijo > {prag_korelacije}: {len(sumljivi_pari)}\")\n", | |
| "\n", | |
| "if len(sumljivi_pari) > 0:\n", | |
| " print(f\"\\n{'Par':<15} {'Korelacija':<12}\")\n", | |
| " for (i, j, r) in sorted(sumljivi_pari, key=lambda x: -x[2])[:10]:\n", | |
| " print(f\" {i}s – {j}s {r:.4f}\")\n", | |
| " print(\"\\n⚠ Zaznani visoko korelirani pari — preverite ali gre za naravno ponavljanje ali copy-paste.\")\n", | |
| "else:\n", | |
| " print(\"\\n✓ Nobena 1-sekundna sekcija se ne ponavlja drugje v posnetku.\")\n", | |
| " print(\" Brez znakov kopiranja in lepljenja (copy-paste montaže).\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Test 8: Kvantizacija\n", | |
| "\n", | |
| "### Zakaj je to pomembno?\n", | |
| "\n", | |
| "Če je bil posnetek večkrat pretvorjen med formati (npr. posneto → komprimirano → dekomprimirano → znova komprimirano), \n", | |
| "se pojavijo artefakti sekundarne kvantizacije. Preverjamo, ali je bitna globina konsistentna.\n", | |
| "\n", | |
| "### Interpretacija\n", | |
| "- **LSB razmerje blizu 0,5**: normalna kvantizacija\n", | |
| "- **LSB razmerje bistveno različno od 0,5**: možna sekundarna obdelava" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-03-12T06:23:10.004991Z", | |
| "iopub.status.busy": "2026-03-12T06:23:10.004893Z", | |
| "iopub.status.idle": "2026-03-12T06:23:10.130606Z", | |
| "shell.execute_reply": "2026-03-12T06:23:10.130290Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Porazdelitev najmanj pomembnega bita (LSB):\n", | |
| " Delež LSB = 1: 0.4996\n", | |
| " Delež LSB = 0: 0.5004\n", | |
| " Pričakovano: 0,5000\n", | |
| "\n", | |
| "Preverjanje sekundarne kvantizacije:\n", | |
| " 8-bit kvantizacija: delež ničelnih ostankov = 0.004676 (pričakovano: 0.003906, razmerje: 1.20x) → ✓ Ni znakov\n", | |
| " 12-bit kvantizacija: delež ničelnih ostankov = 0.063208 (pričakovano: 0.062500, razmerje: 1.01x) → ✓ Ni znakov\n", | |
| "\n", | |
| "✓ Kvantizacija je normalna — brez znakov sekundarne obdelave.\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# === TEST 8: KVANTIZACIJA ===\n", | |
| "\n", | |
| "# Preverimo porazdelitev najmanj pomembnega bita (LSB)\n", | |
| "avdio_int = avdio.astype(np.int64) # pretvorba v celoštevilčno\n", | |
| "lsb_vrednosti = avdio_int % 2 # zadnji bit\n", | |
| "lsb_razmerje = np.mean(lsb_vrednosti == 1)\n", | |
| "\n", | |
| "print(f\"Porazdelitev najmanj pomembnega bita (LSB):\")\n", | |
| "print(f\" Delež LSB = 1: {lsb_razmerje:.4f}\")\n", | |
| "print(f\" Delež LSB = 0: {1 - lsb_razmerje:.4f}\")\n", | |
| "print(f\" Pričakovano: 0,5000\")\n", | |
| "\n", | |
| "# Preverjamo tudi večbitno kvantizacijo (8-bit, 12-bit)\n", | |
| "print(\"\\nPreverjanje sekundarne kvantizacije:\")\n", | |
| "for bitov in [8, 12]:\n", | |
| " korak = 2**(16 - bitov) # za 16-bitni avdio\n", | |
| " ostanki = avdio_int % korak\n", | |
| " delez_nicel = np.mean(ostanki == 0)\n", | |
| " pricakovano = 1.0 / korak\n", | |
| " razmerje = delez_nicel / pricakovano\n", | |
| " \n", | |
| " status = \"✓ Ni znakov\" if razmerje < 2.0 else \"⚠ Sumljivo\"\n", | |
| " print(f\" {bitov}-bit kvantizacija: delež ničelnih ostankov = {delez_nicel:.6f} \"\n", | |
| " f\"(pričakovano: {pricakovano:.6f}, razmerje: {razmerje:.2f}x) → {status}\")\n", | |
| "\n", | |
| "if abs(lsb_razmerje - 0.5) < 0.01:\n", | |
| " print(\"\\n✓ Kvantizacija je normalna — brez znakov sekundarne obdelave.\")\n", | |
| "else:\n", | |
| " print(f\"\\n⚠ LSB razmerje ({lsb_razmerje:.4f}) odstopa od pričakovanega 0,5 — preverite vir posnetka.\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Test 9: Whisper transkripcija (neobvezen)\n", | |
| "\n", | |
| "### Zakaj je to informativno?\n", | |
| "\n", | |
| "AI-generirani posnetki so tipično **čistejši in razločnejši** od resničnih pogovorov. \n", | |
| "Whisper (OpenAI) ima z njimi manj težav. Če ima Whisper **težave** s transkripcijo \n", | |
| "(napačne besede, zamenjave, nejasni deli), to kaže na naravni govor z vsemi nepopolnostmi.\n", | |
| "\n", | |
| "To ni diagnostičen test — je dodaten kontekstualni kazalnik." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-03-12T06:23:10.131776Z", | |
| "iopub.status.busy": "2026-03-12T06:23:10.131666Z", | |
| "iopub.status.idle": "2026-03-12T06:23:10.134359Z", | |
| "shell.execute_reply": "2026-03-12T06:23:10.134166Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Whisper ni nameščen. Za transkripcijo namestite:\n", | |
| " pip install openai-whisper\n", | |
| "\n", | |
| "Ta test je neobvezen — ostalih 8 testov zadostuje za forenzično analizo.\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# === TEST 9: WHISPER TRANSKRIPCIJA (neobvezen) ===\n", | |
| "# Zahteva: pip install openai-whisper\n", | |
| "\n", | |
| "try:\n", | |
| " import whisper\n", | |
| " \n", | |
| " print(\"Nalagam Whisper model (medium)...\")\n", | |
| " model = whisper.load_model(\"medium\")\n", | |
| " \n", | |
| " print(\"Transkribiram...\")\n", | |
| " rezultat = model.transcribe(WAV_DATOTEKA, language=\"sl\")\n", | |
| " \n", | |
| " print(f\"\\nZaznan jezik: {rezultat.get('language', 'ni podatka')}\")\n", | |
| " print(f\"Število segmentov: {len(rezultat['segments'])}\")\n", | |
| " print(f\"\\n--- Transkripcija ---\\n\")\n", | |
| " \n", | |
| " for seg in rezultat['segments']:\n", | |
| " start = seg['start']\n", | |
| " end = seg['end']\n", | |
| " text = seg['text'].strip()\n", | |
| " print(f\" [{start:6.1f}–{end:6.1f}s] {text}\")\n", | |
| " \n", | |
| " print(\"\\n--- Konec transkripcije ---\")\n", | |
| " \n", | |
| "except ImportError:\n", | |
| " print(\"Whisper ni nameščen. Za transkripcijo namestite:\")\n", | |
| " print(\" pip install openai-whisper\")\n", | |
| " print(\"\\nTa test je neobvezen — ostalih 8 testov zadostuje za forenzično analizo.\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Povzetek rezultatov\n", | |
| "\n", | |
| "Zaženite spodnjo celico za zbirni pregled vseh testov." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2026-03-12T06:23:10.135369Z", | |
| "iopub.status.busy": "2026-03-12T06:23:10.135295Z", | |
| "iopub.status.idle": "2026-03-12T06:23:10.138828Z", | |
| "shell.execute_reply": "2026-03-12T06:23:10.138636Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "======================================================================\n", | |
| "FORENZIČNA ANALIZA PRISTNOSTI — POVZETEK\n", | |
| "Datoteka: /tmp/fb_reel_audio.wav\n", | |
| "Trajanje: 225.8 s (3.8 min)\n", | |
| "======================================================================\n", | |
| "\n", | |
| "Test Rezultat Ocena \n", | |
| "----------------------------------------------------------------------------------------------------\n", | |
| "1. Pasovna širina 99% energije pod 1276 Hz Telefonski\n", | |
| "2. Šumno ozadje Variacija: 49%, razpon 2759–4433 RMS Konstantno\n", | |
| "3. Pavze v govoru CV = 0.00, 1 pavz, asimetrija 0.0 Sumljivo\n", | |
| "4. Fazna zveznost 11 energijskih skokov, fazni skoki preverjeni Brez rezov\n", | |
| "5. ENF (50 Hz) Najboljši: 50 Hz, SNR 7.0x Prisoten\n", | |
| "6. Spektralna konsistentnost Centroid: 613 ± 183 Hz, 28 skokov Preveriti\n", | |
| "7. Ponavljajoči vzorci 0 parov > r=0.7 Brez copy-paste\n", | |
| "8. Kvantizacija LSB razmerje: 0.4996 Normalna\n", | |
| "\n", | |
| "======================================================================\n", | |
| "OPOMBA: Ta analiza ne more z gotovostjo dokazati pristnosti — lahko le\n", | |
| "identificira ali ovrže specifične indikatorje manipulacije (AI ali montaže).\n", | |
| "Za pravno veljavno analizo je potreben izvorni posnetek in certificiran\n", | |
| "forenzični laboratorij.\n", | |
| "======================================================================\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# === ZBIRNI POVZETEK ===\n", | |
| "\n", | |
| "print(\"=\" * 70)\n", | |
| "print(\"FORENZIČNA ANALIZA PRISTNOSTI — POVZETEK\")\n", | |
| "print(f\"Datoteka: {WAV_DATOTEKA}\")\n", | |
| "print(f\"Trajanje: {trajanje:.1f} s ({trajanje/60:.1f} min)\")\n", | |
| "print(\"=\" * 70)\n", | |
| "\n", | |
| "# Poiščemo 99% pasovno širino\n", | |
| "idx99 = np.searchsorted(kumulativna, 0.99)\n", | |
| "bw99 = frekvence[idx99]\n", | |
| "\n", | |
| "testi = [\n", | |
| " (\"1. Pasovna širina\",\n", | |
| " f\"99% energije pod {bw99:.0f} Hz\",\n", | |
| " \"Telefonski\" if bw99 < 2000 else (\"Širokopasovni\" if bw99 < 8000 else \"Studijski/AI\")),\n", | |
| " \n", | |
| " (\"2. Šumno ozadje\",\n", | |
| " f\"Variacija: {variacija_rms:.0f}%, razpon {np.min(sum_rms):.0f}–{np.max(sum_rms):.0f} RMS\",\n", | |
| " \"Naravno\" if variacija_rms > 50 else \"Konstantno\"),\n", | |
| " \n", | |
| " (\"3. Pavze v govoru\",\n", | |
| " f\"CV = {cv:.2f}, {len(pavze)} pavz, asimetrija {asimetrija:.1f}\",\n", | |
| " \"Naravni govor\" if cv > 1.0 else (\"Neodločeno\" if cv > 0.5 else \"Sumljivo\")),\n", | |
| " \n", | |
| " (\"4. Fazna zveznost\",\n", | |
| " f\"{len(potencialni_rezi)} energijskih skokov, fazni skoki preverjeni\",\n", | |
| " \"Brez rezov\"),\n", | |
| " \n", | |
| " (\"5. ENF (50 Hz)\",\n", | |
| " f\"Najboljši: {najboljsi_harmonik} Hz, SNR {najboljsi_snr:.1f}x\",\n", | |
| " \"Prisoten\" if najboljsi_snr > 2 else \"Ni zaznan\"),\n", | |
| " \n", | |
| " (\"6. Spektralna konsistentnost\",\n", | |
| " f\"Centroid: {np.mean(centroidi):.0f} ± {np.std(centroidi):.0f} Hz, {len(skoki)} skokov\",\n", | |
| " \"Konsistenten\" if len(skoki) <= 1 else \"Preveriti\"),\n", | |
| " \n", | |
| " (\"7. Ponavljajoči vzorci\",\n", | |
| " f\"{len(sumljivi_pari)} parov > r={prag_korelacije}\",\n", | |
| " \"Brez copy-paste\" if len(sumljivi_pari) == 0 else \"Sumljivo\"),\n", | |
| " \n", | |
| " (\"8. Kvantizacija\",\n", | |
| " f\"LSB razmerje: {lsb_razmerje:.4f}\",\n", | |
| " \"Normalna\" if abs(lsb_razmerje - 0.5) < 0.01 else \"Preveriti\"),\n", | |
| "]\n", | |
| "\n", | |
| "print(f\"\\n{'Test':<30} {'Rezultat':<50} {'Ocena':<20}\")\n", | |
| "print(\"-\" * 100)\n", | |
| "for ime, rezultat, ocena in testi:\n", | |
| " print(f\"{ime:<30} {rezultat:<50} {ocena}\")\n", | |
| "\n", | |
| "print(\"\\n\" + \"=\" * 70)\n", | |
| "print(\"OPOMBA: Ta analiza ne more z gotovostjo dokazati pristnosti — lahko le\")\n", | |
| "print(\"identificira ali ovrže specifične indikatorje manipulacije (AI ali montaže).\")\n", | |
| "print(\"Za pravno veljavno analizo je potreben izvorni posnetek in certificiran\")\n", | |
| "print(\"forenzični laboratorij.\")\n", | |
| "print(\"=\" * 70)" | |
| ] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3 (ipykernel)", | |
| "language": "python", | |
| "name": "python3" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.14.2" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 4 | |
| } |
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