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zo9999
deepfake-audio-detector
Jupyter Notebook2025–2025
zo9999 / deepfake-audio-detector

deepfake-audio-detector

Convolutional Neural Network that classifies voice clips as human or AI with 94% accuracy.

2Distinct people
2Mentions
0Explicit recommenders
76GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Convolutional Neural Network that classifies voice clips as human or AI with 94% accuracy.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week2 dated mentions

Observed mentions: 2025-01-24 07:09:47 UTC to 2025-06-13 00:46:49 UTC. Weeks start Monday, UTC.

012025-01-20 00:00:00 UTC to 2025-01-27 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJan 202025-01-27 00:00:00 UTC to 2025-02-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-02-03 00:00:00 UTC to 2025-02-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-02-10 00:00:00 UTC to 2025-02-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-02-17 00:00:00 UTC to 2025-02-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-02-24 00:00:00 UTC to 2025-03-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-03 00:00:00 UTC to 2025-03-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-10 00:00:00 UTC to 2025-03-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-17 00:00:00 UTC to 2025-03-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-24 00:00:00 UTC to 2025-03-31 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-31 00:00:00 UTC to 2025-04-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMar 312025-04-07 00:00:00 UTC to 2025-04-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-14 00:00:00 UTC to 2025-04-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-21 00:00:00 UTC to 2025-04-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-28 00:00:00 UTC to 2025-05-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-05-05 00:00:00 UTC to 2025-05-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-05-12 00:00:00 UTC to 2025-05-19 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-05-19 00:00:00 UTC to 2025-05-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-05-26 00:00:00 UTC to 2025-06-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-02 00:00:00 UTC to 2025-06-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-09 00:00:00 UTC to 2025-06-16 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJun 9

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jan 202025-01-20 00:00:00 UTC2025-01-27 00:00:00 UTC110
Jan 272025-01-27 00:00:00 UTC2025-02-03 00:00:00 UTC000
Feb 32025-02-03 00:00:00 UTC2025-02-10 00:00:00 UTC000
Feb 102025-02-10 00:00:00 UTC2025-02-17 00:00:00 UTC000
Feb 172025-02-17 00:00:00 UTC2025-02-24 00:00:00 UTC000
Feb 242025-02-24 00:00:00 UTC2025-03-03 00:00:00 UTC000
Mar 32025-03-03 00:00:00 UTC2025-03-10 00:00:00 UTC000
Mar 102025-03-10 00:00:00 UTC2025-03-17 00:00:00 UTC000
Mar 172025-03-17 00:00:00 UTC2025-03-24 00:00:00 UTC000
Mar 242025-03-24 00:00:00 UTC2025-03-31 00:00:00 UTC000
Mar 312025-03-31 00:00:00 UTC2025-04-07 00:00:00 UTC000
Apr 72025-04-07 00:00:00 UTC2025-04-14 00:00:00 UTC000
Apr 142025-04-14 00:00:00 UTC2025-04-21 00:00:00 UTC000
Apr 212025-04-21 00:00:00 UTC2025-04-28 00:00:00 UTC000
Apr 282025-04-28 00:00:00 UTC2025-05-05 00:00:00 UTC000
May 52025-05-05 00:00:00 UTC2025-05-12 00:00:00 UTC000
May 122025-05-12 00:00:00 UTC2025-05-19 00:00:00 UTC000
May 192025-05-19 00:00:00 UTC2025-05-26 00:00:00 UTC000
May 262025-05-26 00:00:00 UTC2025-06-02 00:00:00 UTC000
Jun 22025-06-02 00:00:00 UTC2025-06-09 00:00:00 UTC000
Jun 92025-06-09 00:00:00 UTC2025-06-16 00:00:00 UTC110

What Hacker News says

2 sources

Show HN: I Built a Tool that Detects If a Voice is AI-Generated. 94% Accuracy

Hello from San Francisco! I built this tool in 2023 that detects whether or not a voice is AI-generated. It takes an audio clip of somebody speaking as input, and gives a binary classification ('human' or 'AI') as output. I tested it tonight (2025) on some ElevenLabs clips and it still works! I built it using a fairly simple Convolutional Neural Network (CNN). Essentially, we pre-process the audio to produce a Mel Spectrogram, then we use the CNN to do image classification on the spectrogram. The Jupyter notebook file that I wrote to train the model is in the 'model' dir, but if you wanna just use the tool, there's a python script in the root directory of the project. I trained the model on a Paperspace (acquired by DigitalOcean) cloud server with one GPU. Check it out! Thanks, Zuri Obozuwa
3 points · Open discussion

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