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If you are wondering where the data of this site comes from, please visit https://api.github.com/users/TParcollet/events. GitMemory does not store any data, but only uses NGINX to cache data for a period of time. The idea behind GitMemory is simply to give users a better reading experience.
Parcollet Titouan TParcollet avignon university France www.darnault-parcollet.fr Associate Professor at the University of Avignon — Visiting Scholar at the University of Cambridge

speechbrain/speechbrain 3027

A PyTorch-based Speech Toolkit

mravanelli/pytorch-kaldi 2072

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

speechbrain/speechbrain.github.io 284

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.

LeBenchmark/Interspeech2021 40

This repository describes our reproducible framework for assessing self-supervised representation learning from speech

TParcollet/E2E-SincNet 26

E2E-SincNet: Toward fully end-to-end speech recognition

ispamm/hTorch 21

Repository dedicated to Quaternion Neural Networks

TParcollet/Quaternion-Neural-Networks 4

This is the updated version of https://github.com/Orkis-Research/Pytorch-Quaternion-Neural-Networks

NOEPG/pytorch-kaldi 1

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

TParcollet/4-Bits-Parity-Check-An-Overview-With-Complex-And-Quaternions 1

A comparison of Real, Complex, and Quaternions valued neurons to solve the 4 Bits parity check.

xinchiqiu/Kaldi-pytorch-QNN 1

For multichannel for QNN project

issue commentspeechbrain/speechbrain

How long the longest speech can be transcribed with transformer

In practice, for vanilla attention-based models, it is better to transcribe files that are close to the average length of the training dataset.

Jeremiah0425

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multinode

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wav2vect -> wav2vec

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remove eval

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eval

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eval mode

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converted

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epoch counter

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finetune only with epoch > 1

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Parcollet Titouan

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Blank Space EncoderASR

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python 3.7 and 3.9 github actions

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Merge pull request #958 from turian/py39 python 3.7 and 3.9 github actions

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issue commentspeechbrain/speechbrain

Using pretrained models

Yep.

gandroz

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Parcollet Titouan

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Hot fix EncoderASR

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issue commentspeechbrain/speechbrain

Using pretrained models

aaaaaah, anywhere. Then you can simply give the path instead of the hub ID.

gandroz

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issue commentspeechbrain/speechbrain

Using pretrained models

Hi, I don't understand, I can't see any issue:

Capture d’écran 2021-09-17 à 17 49 07

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Parcollet Titouan

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before after

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