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asteroid

The PyTorch-based audio source separation toolkit for researchers || Pretrained models available

beamforming-for-speech-enhancement

simple delaysum, MVDR and CGMM-MVDR

bss

工学博覧会 : 音源分離チーム

caffe

Caffe: a fast open framework for deep learning.

caffe-tensorflow

Caffe models in TensorFlow

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

capsule-networks

A Tensorflow implementation of Capsule Networks

cgmm-mvdr

Implementation of the CGMM-MVDR beamforming

clone-voice

A sound cloning tool with a web interface, using your voice or any sound to record audio / 一个带web界面的声音克隆工具，使用你的音色或任意声音来录制音频

conv-tasnet

Deep Neural Network for Speaker Separation

cyclegan

Tensorflow implementation of CycleGANs

deep-clustering

emotion

Proof of concept: voice emotion recognition

emotion-recognition-neural-networks

Emotion recognition using DNN with tensorflow

emotionrecognition

Real time emotion recogniser using web camera based on FACS.

flappylearning

Program learning to play Flappy Bird by machine learning (Neuroevolution)

flowavenet

A Pytorch implementation of "FloWaveNet: A Generative Flow for Raw Audio"

forward

A library for high performance deep learning inference on NVIDIA GPUs.

hunspeech

jhu-neural-wpe

Neural Dereverberation

kaldi

This is now the official location of the Kaldi project.

kaldi-ivector

Extension to Kaldi implementing the standard i-vector hyperparameter estimation and i-vector extraction procedure

keras_to_tensorflow

General code to convert a trained keras model into an inference tensorflow model

lpcnet

Efficient neural speech synthesis

magenta

Magenta: Music and Art Generation with Machine Intelligence

melotts

High-quality multi-lingual text-to-speech library by MyShell.ai. Support English, Spanish, French, Chinese, Japanese and Korean.

merlin

This is now the official location of the Merlin project.

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch and CoreML.

mobile-deep-learning

This research aims at simply deploying CNN(Convolutional Neural Network) on mobile devices, with low complexity and high speed.

ms-snsd

The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired.