mravanelli Goto Github PK
Name: Mirco Ravanelli
Type: User
Company: Concordia University/Mila
Bio: I'm an Assistant Professor at Concordia University and Mila Associate Member working on deep learning for Conversational AI
Location: Montreal
Mirco Ravanelli's Projects
benchmarks
This repository contains the SpeechBrain Benchmarks
joint_training_asr
Joint Training for (Distant) Speech Recognition
pretrain_speech_model
Speech Model Pre-training for End-to-End Spoken Language Understanding
pyspeechrev
This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of acoustic impulse responses.
pytorch-kaldi
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.
pytorch_mlp_for_asr
This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and decoding are performed with Kaldi. The current implementation supports dropout and batch normalization. An example for phoneme recognition using the standard TIMIT dataset is provided.
sincnet
SincNet is a neural architecture for efficiently processing raw audio samples.
speechbrain-1
A PyTorch-based Speech Toolkit
theano-kaldi-rnn
THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.
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