whisper-diarization
speechbrain
| whisper-diarization | speechbrain | |
|---|---|---|
| 5 | 26 | |
| 2,101 | 7,948 | |
| - | 2.8% | |
| 6.8 | 9.8 | |
| 6 days ago | 5 days ago | |
| Jupyter Notebook | Python | |
| BSD 2-clause "Simplified" License | Apache License 2.0 |
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whisper-diarization
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MacWhisper: Transcribe audio files on your Mac
https://github.com/MahmoudAshraf97/whisper-diarization
This project has been alright for transcribing audio with speaker diarization. A big finicky. The OpenAI model is better than other paid products(Descript, Riverside) so Iām looking forward to trying MacWhisper.
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Faster Whisper Transcription with CTranslate2
The project page mentions whisper-diarization (speaker recognition) as a user of faster-whisper. I've been in the market for that, definitely going to try it out.
https://github.com/MahmoudAshraf97/whisper-diarization
- GitHub - MahmoudAshraf97/whisper-diarization: Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
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AI or technique for distinguishing between speakers for podcast?
Here
- Services for transcription
speechbrain
- SpeechBrain 1.0: A free and open-source AI toolkit for all things speech
- FLaNK Stack Weekly 22 January 2024
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[D] Training ASR model using SpeechBrain
You likely have a very broken sample in one of your batches. It looks like your training actually went through a few batches before it horked the error at you. A quick google shows a similar issue in the github repo: https://github.com/speechbrain/speechbrain/issues/649 .
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Whisper.cpp
https://github.com/ggerganov/whisper.cpp https://speechbrain.github.io/
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[D] What is the best open source text to speech model?
I don't know if it's the best, but Speechbrain is supposed to be state of the art.
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[D] What's stopping you from working on speech and voice?
- https://github.com/speechbrain/speechbrain
- Specific Voice recognition
- How to get high-quality, low-cost Speech-to-Text transcription?
- [D] Speech Enhancement SOTA
- Speaker diarization
What are some alternatives?
faster-whisper - Faster Whisper transcription with CTranslate2
espnet - End-to-End Speech Processing Toolkit
whisper-youtube - š Youtube Videos Transcription with OpenAI's Whisper
pyannote-audio - Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Resemblyzer - A python package to analyze and compare voices with deep learning
audapolis - an editor for spoken-word audio with automatic transcription
ukrainian-onnx-model - An ONNX model for speech recognition of the Ukrainian language
tinydiarize - Minimal extension of OpenAI's Whisper adding speaker diarization with special tokens
SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.
buzz - Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
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)