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-cplusplus

a-convolutional-recurrent-neural-network-for-real-time-speech-enhancement

A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch

ada4asr

adabatch

AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks

adaptbatch

Basic code for adaptive batch in pytorch

algorithm-study

algorithm_util

asteroid

The PyTorch-based audio source separation toolkit for researchers

backjun_algorithm

baekjoon

baekjoon, online judge 문제 풀이

bbcsounddownloader

Bulk downloader for http://bbcsfx.acropolis.org.uk/.

cnn-audio-denoiser

Tensorflow 2.0 implementation of the paper: A Fully Convolutional Neural Network for Speech Enhancement

ctcdecoder

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python and OpenCL.

ctcwordbeamsearch

Connectionist Temporal Classification (CTC) decoder with dictionary and language model for TensorFlow.

dddd

decoder

deepspeech.pytorch

Speech Recognition using DeepSpeech2.

dp

code example for dynamic programming

fairseq

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

gan_torch

PyTorch implementation of "Boosting Noise Robustness of Acoustical Model via Deep Adversarial Training"

gcommandspytorch

ConvNets for Audio Recognition using Google Commands Dataset

git-practice

hands-on-embedded-programming-with-cpp-17

Hands-On Embedded Programming with CPP 17, published by Packt

icefall

itu-t_pesq

kaldi

This is the official location of the Kaldi project.

neural_sp

End-to-end ASR/LM implementation with PyTorch

noise2noise-audio_denoising_without_clean_training_data

Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoising networks using only noisy speech samples.

paper_review

pymldg-rev

《파이썬 머신러닝 완벽 가이드 (개정판)》 예제 코드