ECAPA-TDNN
speechbrain
| ECAPA-TDNN | speechbrain | |
|---|---|---|
| 1 | 26 | |
| 529 | 7,914 | |
| - | 2.5% | |
| 1.0 | 9.8 | |
| 27 days ago | 1 day ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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ECAPA-TDNN
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Using Edge Biometrics For Better AI Security System Development
The previous model with Jasper architecture was not able to verify the recordings of the same person taken from different microphones. So we solved this problem by using ECAPA-TDNN architecture, which was trained on VoxCeleb2 dataset from the SpeechBrain framework which did a better job at verifying employees.
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?
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.
espnet - End-to-End Speech Processing Toolkit
retinaface - RetinaFace: Deep Face Detection Library for Python
pyannote-audio - Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
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)
Resemblyzer - A python package to analyze and compare voices with deep learning
UniSpeech - UniSpeech - Large Scale Self-Supervised Learning for Speech
ukrainian-onnx-model - An ONNX model for speech recognition of the Ukrainian language
SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.
speech-to-text-benchmark - speech to text benchmark framework