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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.
PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code
Dockerfile for kaldi-gstreamer-server.
A pytroch implementation of the EETS: End-to-End Adversarial Text-to-Speech
Pytorch implementation of "Efficienttts: an efficient and high-quality text-to-speech architecture"
A tool for transcribing orthographic text as IPA (International Phonetic Alphabet)
End-to-End Speech Processing Toolkit
Using modified BiSeNet for face parsing in PyTorch
Face super resolution based on ESRGAN
Speedy Wavenet generation using dynamic programming :zap:
PyTorch Implementation of FastDiff (IJCAI'22)
PyTorch Implementation of NCSOFT's FastPitchFormant: Source-filter based Decomposed Modeling for Speech Synthesis
PyTorch Implementation of FastSpeech 2 : Fast and High-Quality End-to-End Text to Speech
Utilities for resampling and filtering audio data
Socket.IO integration for Flask applications.
A Pytorch implementation of "FloWaveNet: A Generative Flow for Raw Audio"
FMA: A Dataset For Music Analysis
The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.
A collection of links and notes on forced alignment tools
Fre-GAN: Adversarial Frequency-consistent Audio Synthesis
A small package to fuzzy match chinese words
A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset
gentle forced aligner
Large, modern dataset for speech recognition
A Generative Flow for Text-to-Speech via Monotonic Alignment Search
Gaussian Mixture VAE Tacotron
GQ is HS
A New Optimization Technique for Deep Neural Networks
Keras implementation of a gradient reversal layer for the Tensorflow backend
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.