pyannote-audio
whisper-asr-webservice
pyannote-audio | whisper-asr-webservice | |
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15 | 11 | |
5,077 | 1,644 | |
3.4% | - | |
8.6 | 7.8 | |
3 days ago | 7 days ago | |
Jupyter Notebook | Python | |
MIT License | MIT License |
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pyannote-audio
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Open Source Libraries
pyannote/pyannote-audio
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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
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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
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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
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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
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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.
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[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
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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)
whisper-asr-webservice
- How I converted a podcast into a knowledge base using Orama search and OpenAI whisper and Astro
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Bazarr AI subs
Check https://github.com/openai/whisper & https://github.com/ahmetoner/whisper-asr-webservice
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Bulk download subtitles
I see that bazarr had already been mentioned. If there are no subtitles available, you can also generate the subtitles by connecting bazarr to the AI model whisper which you can self host locally. I run everything in containers, tried it a few times and it works quite well for me! It does however use some computational resources to generate the subtitles, how long processing takes depends on the chosen model accuracy.
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Writeout.ai – Transcribe and translate any audio files. Free and open source
You (essentially) need GPU but here you go:
https://github.com/ahmetoner/whisper-asr-webservice
For your requirements the medium.en model (max) should be satisfactory.
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Whispers AI Modular Future
What utilities related to Whisper do you wish existed? What have you had to build yourself?
On the end user application side, I wish there was something that let me pick a podcast of my choosing, get it fully transcribed, and get an embeddings search plus answer q&a on top of that podcast or set of chosen podcasts. I've seen ones for specific podcasts, but I'd like one where I can choose the podcast. (Probably won't build it)
Also on the end user side, I wish there was an Otter alternative (still paid $30/mo, but unlimited minutes per month) that had longer transcription limits. (Started building this, not much interest from users though)
Things I've seen on the dev tool side:
Gladia (API call version of Whisper)
Whisper.cpp
Whisper webservice (https://github.com/ahmetoner/whisper-asr-webservice) - via this thread
Live microphone demo (not real time, it still does it in chunks) https://github.com/mallorbc/whisper_mic
Streamlit UI https://github.com/hayabhay/whisper-ui
Whisper playground https://github.com/saharmor/whisper-playground
Real time whisper https://github.com/shirayu/whispering
Whisper as a service https://github.com/schibsted/WAAS
Improved timestamps and speaker identification https://github.com/m-bain/whisperX
MacWhisper https://goodsnooze.gumroad.com/l/macwhisper
Crossplatform desktop Whisper that supports semi-realtime https://github.com/chidiwilliams/buzz
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I made a free transcription service powered by Whisper AI
I think there's been talk to do speaker diarization with whisper-asr-webservice[0] which is also written in python and should be able to make use of goodies such as pyannote-audio, py-webrtcvad, etc.
Whisper is great but at the point we get to kludging various things together it starts to make more sense to use something like Nvidia NeMo[1] which was built with all of this in mind and more
[0] - https://github.com/ahmetoner/whisper-asr-webservice
[1] - https://github.com/NVIDIA/NeMo
- whisper-asr-webservice-client - A self-hosted OpenAI Whisper API client
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Show HN: A self-hosted OpenAI Whisper API client
(read the docs in the repo)
In terms of me not storing your data for this (I don't) I guess you'll just have to trust me?
[0] - https://github.com/ahmetoner/whisper-asr-webservice
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[P] OpenAI Whisper ASR Webservice API released
For more details: https://github.com/ahmetoner/whisper-asr-webservice
What are some alternatives?
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)
whisper.cpp - Port of OpenAI's Whisper model in C/C++
speechbrain - A PyTorch-based Speech Toolkit
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
Resemblyzer - A python package to analyze and compare voices with deep learning
generate-subtitles - Generate transcripts for audio and video content with a user friendly UI, powered by Open AI's Whisper with automatic translations and download videos automatically with yt-dlp integration
Kaldi Speech Recognition Toolkit - kaldi-asr/kaldi is the official location of the Kaldi project.
whisperX - WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
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.
whisper-asr-webservice-client
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.
gitbar-2023 - New release of gitbar website