DNN embeddings extraction from audio and speech recordings using PyTorch.
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Updated
Sep 24, 2021 - Python
DNN embeddings extraction from audio and speech recordings using PyTorch.
Convert kaldi feature extraction and nnet3 models into Tensorflow Lite models. Currently aimed at converting kaldi's x-vector models and diarization pipelines to tensorflow models.
Implementation of the paper "Spoken Language Recognition using X-vectors" in Pytorch
PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi
Time delay neural network (TDNN) implementation in Pytorch using unfold method
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