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webrtc_vad

Voice Activity Detector Module Port From WebRTC

webrtc_vad-1

Voice activity detection (VAD) library and Go bindings based on WebRTC's VAD engine

webrtc_voiceengine

This is the Wrapper Library for WebRTC Voice Engine. Including Acoustic Echo Cancellation (AEC), Noise Suppression (NS), VAD (Voice Active Detection) and so on.

website

wei-xiang-lieow-neural-meta-learning-for-multifidelity-bayesian-optimization

weightnorm

Example code for Weight Normalization, from "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks"

wenet

Production First and Production Ready End-to-End Speech Recognition Toolkit

wer_are_we

Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.

wetts

Production First and Production Ready End-to-End Text-to-Speech Toolkit

wfb_se

Wiener Filer based Speech Enhancement（deep neural networks, LSTM）

wgmm

Wrapped Gaussian Mixture Model for angular clustering

whatanime.ga

Anime Scene Search by Image

whc

whisper

High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model

whisper-1

Robust Speech Recognition via Large-Scale Weak Supervision

whisper.cpp

Port of OpenAI's Whisper model in C/C++

wide-residual-networks

95.8% and 80% on CIFAR-10 and CIFAR-100

wide-resnet.pytorch

Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch

wikipedia-categorization

wind-generator

Generating multi-channel wind noise based on the Corcos model

wmp-loss-for-dereverb

word-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

word2vec

Multiple version of word2vec. https://code.google.com/p/word2vec/

word2vec-1

Automatically exported from code.google.com/p/word2vec

wordsegmentation

Segmentation of a text-line into words.

world

A high-quality speech analysis, manipulation and synthesis system

wrassp

wrassp is a wrapper for R around Michel Scheffers's libassp (Advanced Speech Signal Processor). The libassp library aims at providing functionality for handling speech signal files in most common audio formats and for performing analyses common in phonetic science/speech science. This includes the calculation of formants, fundamental frequency, root mean square, auto correlation, a variety of spectral analyses, zero crossing rate, filtering etc. This wrapper provides R with a large subset of libassp's signal processing functions and provides them to the user in a (hopefully) user-friendly manner. The wrassp package is used by the EMU Speech Database Management System (EMU-SDMS) to perform signal processing routines.

writing

My paper, note and anything in text.

wscm-music

Weighted Spatial Covariance Matrix Estimation for MUSIC based TDOA Estimation of Speech Source

wsj2wav

Convert WSJ sphere format to waveform and do data simulation.