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speaker-recognition

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pyannote / pyannote-audio

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Documentation

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hbredin
hbredin commented Oct 1, 2019

I think we should give/improve the following points :

  1. A high-level overview of the pipeline. How everything works, how each module is articulated with the others, etc ...
  2. More details about some mechanisms : I am thinking about user-defined callbacks since I've been working on that. But I'm pretty sure many of you will have other ideas 🙂
  3. More explanations about some tricks that have
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speechbrain / speechbrain.github.io

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The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

deep-learning neural-network speech speech-recognition neural-networks deeplearning speech-to-text speaker-recognition speaker-verification speech-processing speech-recognizer beamforming speech-analysis timit speechrecognition speech-api speech-separation librispeech speech-emotion-recognition speaker-identification
  • Updated Jul 14, 2020
  • CSS

andi611 / Self-Supervised-Speech-Pretraining-and-Representation-Learning

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Official implementation of the S3PRL toolkit: self-supervised pre-training of Mockingjay, TERA, AALBERT, APC, and more to come. With easy-to-use standard downstream evaluation scripts including phone classification, speaker recognition, and ASR. (All in Pytorch)

pytorch speech-recognition kaldi representation-learning tera speaker-recognition albert bert asr apc timit mockingjay librispeech self-supervised-learning speech-representation phone-classification speech-pretraining pytorch-kaldi aalbert
  • Updated Jul 14, 2020
  • Python

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