SpotifyTranscripts
pyannote-audio
| SpotifyTranscripts | pyannote-audio | |
|---|---|---|
| 1 | 15 | |
| 140 | 5,123 | |
| - | 5.2% | |
| 6.3 | 8.6 | |
| 5 months ago | 5 days ago | |
| JavaScript | Jupyter Notebook | |
| - | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
SpotifyTranscripts
-
Show HN: PodText.ai – Search anything said on a podcast, Highlight text to play
This is great, I was working on something similar in the last few days, but since it is hard to cover every podcast, I stopped to think of a way to niche down. I feel your pain with GPU and scalability to transcript podcasts.
I was thinking of adding something like this for the UI https://github.com/johan-akerman/SpotifyTranscripts in case you find it useful.
Good luck! It is a really nice project.
pyannote-audio
-
Open Source Libraries
pyannote/pyannote-audio
-
AI Transcribing tool for video with two voices?
Open Source. I've found this to be pretty nice, which is just a wrapper on some hugging face models https://github.com/pyannote/pyannote-audio
-
Show HN: PodText.ai – Search anything said on a podcast, Highlight text to play
(not the creator, but I've built something similar for personal use)
This is a great library for determining which speaker is speaking during each time in an audio file (this is called speaker diarization); I imagine they used it or something like it. Works really well out of the box!
https://github.com/pyannote/pyannote-audio
-
I wanted to use OpenAI's Whisper speech-to-text on my Mac without installing stuff in the Terminal so I made MacWhisper, a free Mac app to transcribe audio and video files for easy transcription and subtitle generation. Would love to hear some feedback on it!
Do you think pyannote could be implemented in the Pro version of the app to support diarization?
- I won several speaker diarization challenges with pyannote.audio
-
I made a free transcription service powered by Whisper AI
Free startup idea: Use Whisper with pyannote-audio[0]’s speaker diarization. Upload a recording, get back a multi-speaker annotated transcription.
Make a JSON API and I’ll be your first customer.
[0] https://github.com/pyannote/pyannote-audio
-
Can Whisper differentiate between different voices?
Whisper can’t, but pyannote-audio can. I’ve seen a couple of prototypes out there which link the two together.
-
[D] Is there a way to distinguish different human voices from 1 audio file ?
You can use pyannote python library. It will identify different speakers from audio and will create small audio files with those speakers.
- Post-Game Analysis: Destiny & Alex VS Andrew & Zen Shapiro
-
A quick and dirty tool for automatically analyzing speaking time in online debates (Effortpost)
This Colab notebook is basically a standard template (with small changes) provided by pyannote-audio, the library implementing the speaker diarization functionality we need. (template)
What are some alternatives?
Saveddit - Search and Filter through your Saved Reddit Posts
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
rapviz - 🔥🎤 See your bars broken down right in the browser. Powered by Spotify, Genius, and Railway.
speechbrain - A PyTorch-based Speech Toolkit
autocropper.io - API to automatically crop and output individual photos from multi-photo scans (deprecated)
Resemblyzer - A python package to analyze and compare voices with deep learning
threaddit - Threaddit is a full-stack Reddit clone; it's a comprehensive web application inspired by Reddit, built using Flask and its diverse libraries for the backend, combined with PostgreSQL for robust database management. The frontend is developed using React.js and its rich set of libraries, offering a seamless and dynamic user experience.
Kaldi Speech Recognition Toolkit - kaldi-asr/kaldi is the official location of the Kaldi project.
realtime-transcription-playground - A real-time transcription project using React and socketio
inaSpeechSegmenter - CNN-based audio segmentation toolkit. Allows to detect speech, music, noise and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.
modal-examples - Examples of programs built using Modal
uis-rnn - This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.