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3d-convolutional-speaker-recognition

:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

ae-wavenet

Wavenet Autoencoder for Unsupervised speech representation learning (after Chorowski, Jan 2019)

akshare

AkShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

asr

athena-signal

audio-diffusion-pytorch

Audio generation using diffusion models, in PyTorch.

audio_to_midi_melodia

Extract the melody from an audio file and export to MIDI

audiocraft

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

audiowmark

Audio Watermarking

awesome-deep-learning-music

List of articles related to deep learning applied to music

awesome-knowledge-distillation

Awesome Knowledge Distillation

awesome-multimodal-research

A curated list of Multimodal Related Research.

awesome-speech-enhancement

speech enhancement\speech seperation\sound source localization

awesome-wechat-weapp

微信小程序开发资源汇总 :100:

backgroundmattingv2

Real-Time High-Resolution Background Matting

bert-flow

TensorFlow implementation of On the Sentence Embeddings from Pre-trained Language Models (EMNLP 2020)

chatgpt-miniprogram

忠实于官网风格的 ChatGPT 微信小程序

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

codingmath

Tech

crnn-lid

Code for the paper Language Identification Using Deep Convolutional Recurrent Neural Networks

crosswoz

A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset

dacidian-develop

DaCiDian is an open-sourced chinese mandarin lexicon for automatic speech recognition(ASR)

deep-speaker

Deep Speaker: an End-to-End Neural Speaker Embedding System.

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

dns-challenge

This repo contains the scripts, models and required files for the Interspeech 2020 Deep Noise Suppression (DNS) Challenge. We are open sourcing clean speech and noise files as well. Participants of this challenge will use the scripts from this repo to create data to train their noise suppressors. They will compare their method with our baseline noise suppressor and report the results.

dvector

Speaker embedding (d-vector) trained with GE2E loss

esp-sr

Speech recognition