Sangwook Han's repositories

Factorized-TDNN

PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi

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pytorch_xvectors

Deep speaker embeddings in PyTorch, including x-vectors. Code used in this work: https://arxiv.org/abs/2007.16196

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Y-vector

Y-vector: Multiscale Waveform Encoder for Speaker Embedding

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attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

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byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

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Conference-Acceptance-Rate

Statistics of acceptance rate for the main AI conference

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Conv-TasNet-1

A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).

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Conv-TasNet-3

Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement

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Dual-Path-RNN-Pytorch

Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch

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ECANet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

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fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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keras-attention-mechanism

Attention mechanism Implementation for Keras.

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keras-tcn

Keras Temporal Convolutional Network.

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meta-SR

Pytorch implementation of Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs (Interspeech, 2020)

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meta-tasnet

A PyTorch implementation of Meta-TasNet from "Meta-learning Extractors for Music Source Separation

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pase

Problem Agnostic Speech Encoder

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pyannote-audio

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, speaker embedding

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pytorch-gradual-warmup-lr

Gradually-Warmup Learning Rate Scheduler for PyTorch

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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.

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pytorch-kaldi-neural-speaker-embeddings

A light weight neural speaker embeddings extraction based on Kaldi and PyTorch.

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pytorch-loss

label-smooth, amsoftmax, focal-loss, triplet-loss. Maybe useful

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RawNet

Reproducing RawNet paper with Keras and additional experiments with PyTorch.

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Res2Net-PretrainedModels

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

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Speech-Transformer

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

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TDNN-1

Time delay neural network (TDNN) implementation in Pytorch using unfold method

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the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

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torch-plda

PyTorch implementation of PLDA as described in https://ravisoji.com/assets/papers/ioffe2006probabilistic.pdf

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voxceleb_trainer

In defence of metric learning for speaker recognition

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