110 Open source projects that are alternatives of or similar to ConvolutionaNeuralNetworksToEnhanceCodedSpeech

Problem Agnostic Speech Encoder

Novoic's audio feature extraction library

Library to build speech synthesis systems designed for easy and fast prototyping.

A python wrapper for Speech Signal Processing Toolkit (SPTK).

This repository has implementation for "Neural Voice Cloning With Few Samples"

A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

Tracking the progress in end-to-end speech translation

HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

a neural network toolbox for animal vocalizations and bioacoustics

(1st place at HopHacks) A dynamic webVR memory palace for speech training, utilizing natural language processing and Google Streetview API

Scripts for LIUM SpkDiarization tools

Reading list for research topics in multimodal machine learning

ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)

UniSpeech - Large Scale Self-Supervised Learning for Speech

Combining Weighted Multi-resolution STFT Loss and Distance Fusion to Optimize Speech Enhancement Generative Adversarial Networks

python speech signal processing library

Book Library of P&W Studio

Spokestack: give your iOS app a voice interface!

A Convolutional Neural Network based Voice Activity Detector for Smartphones

This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.

💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies

Trained speaker embedding deep learning models and evaluation pipelines in pytorch and tesorflow for speaker recognition.

IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition

a simple speech recognition app using the Web Speech API Interfaces

Pitch shifter using WSOLA and resampling implemented by Python3

ACLEW Diarization Virtual Machine

This repository is a curated list of awesome Speech Keyword Spotting (Wake-Up Word Detection).

Spokestack: give your React Native app a voice interface!

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"

Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors

Chainer implementation of the Wesserstein GAN

Pytorch implementation of Wasserstein GANs with Gradient Penalty

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

Torch implementation of Wasserstein GAN https://arxiv.org/abs/1701.07875

Pure tensorflow implementation of progressive growing of GANs

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

End-to-End Speech Processing Toolkit

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 denoisi…

A Conditional Generative Adverserial Network (cGAN) was adapted for the task of source de-noising of noisy voice auditory images. The base architecture is adapted from Pix2Pix.

No description or website provided.

This is the repo of the manuscript "Embedding and Beamforming: All-Neural Causal Beamformer for Multichannel Speech Enhancement", which was submitted to ICASSP2022.

Speech Enhancement Metrics (PESQ, CSIG, CBAK, COVL)

A framework for quick testing and comparing multi-channel speech enhancement and separation methods, such as DSB, MVDR, LCMV, GEVD beamforming and ICA, FastICA, IVA, AuxIVA, OverIVA, ILRMA, FastMNMF.

(NOT Official) Implementation DC-UNet (ICLR 2019)

A speech dereverberation algorithm, also called wpe

speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN

A statistical model-based Speech Enhancement Using MMSE-STSA

Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.

Deep learning based Speech Beamforming