speechbrain
best-of-ml-python
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| speechbrain | best-of-ml-python | |
|---|---|---|
| 26 | 16 | |
| 7,869 | 15,335 | |
| 7.1% | 1.3% | |
| 9.8 | 7.8 | |
| 5 days ago | 1 day ago | |
| Python | Python | |
| Apache License 2.0 | Creative Commons Attribution Share Alike 4.0 |
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.
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
best-of-ml-python
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Ask HN: How to get back into AI?
For Python, here's a nice compilation: https://github.com/ml-tooling/best-of-ml-python/blob/main/RE...
- Best-Of Machine Learning with Python
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Questions regarding Job Requirements for data analyst to data science transition?
You will need numpy, scipy, pandas, scikit-learn, Keras/tensorflow/pytorch, xgboost and many many many others. See this list for example.
- Awesome list of ML
- Are there any speech recognition modules so I can write one and do not have to rely on google and the likes?
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Learning opencv
Take a look at this list on github. It has a pretty comprehensive list of python image libraries.
- Best-of Machine Learning with Python
- 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
What are some alternatives?
espnet - End-to-End Speech Processing Toolkit
Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.
pyannote-audio - Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
Resemblyzer - A python package to analyze and compare voices with deep learning
dtale - Visualizer for pandas data structures
ukrainian-onnx-model - An ONNX model for speech recognition of the Ukrainian language
ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)
SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
speech-to-text-benchmark - speech to text benchmark framework
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data