speech-to-text-benchmark
speechbrain
speech-to-text-benchmark | speechbrain | |
---|---|---|
5 | 27 | |
655 | 10,129 | |
0.8% | 2.6% | |
4.6 | 9.7 | |
16 days ago | 9 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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speech-to-text-benchmark
- Speech-to-Text Benchmark
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Making a Podcast Transcription Server with Express.js (source code in comments)
Even better than my experience, there's an open-source benchmark!
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DeepSpeech 60x Smaller, 9x faster, and 2x accuracy
The Mozilla DeepSpeech tests on LibreSpeech listed in your link were out of date back in 2020[1], and Coqui.ai (the continuation of Mozilla DeepSpeech) isn't even benchmarked.
https://github.com/Picovoice/speech-to-text-benchmark/issues...
- I got banned for using some Chinese swear words to some Chinese player and i was insta Voice banned
speechbrain
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Speaker Diarization in Python
Simple Diarizer Simple Diarizer is a speaker diarization library that utilizes pretrained models from SpeechBrain . To get started with simple_diarizer, follow these steps:
- 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
What are some alternatives?
vosk-build-model - How to create your own model for vosk
pyannote-audio - Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
FedML - FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
Resemblyzer - A python package to analyze and compare voices with deep learning
STT-examples - 🐸STT integration examples
espnet - End-to-End Speech Processing Toolkit