santi-pdp/pase
Problem Agnostic Speech Encoder
This project provides pre-trained speech models that convert raw audio waveforms into meaningful feature representations. These features can then be used for various speech-related tasks, such as transcribing speech, identifying speakers, recognizing emotions, or generating voices. It's designed for researchers and engineers working on advanced speech processing applications.
447 stars. No commits in the last 6 months.
Use this if you need to extract high-quality, self-supervised features from speech audio to improve the performance of your speech recognition, speaker identification, or voice synthesis systems.
Not ideal if you're looking for a complete, out-of-the-box solution for a specific speech task without any further model development or fine-tuning.
Stars
447
Forks
85
Language
Python
License
MIT
Category
Last pushed
Jul 06, 2023
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/santi-pdp/pase"
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