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rxhmdia's Projects

cloud-asr icon cloud-asr

Cloud-based Automatic Speech Recognition (ASR) platform and a public ASR webservice.

cnn-audio-denoiser icon cnn-audio-denoiser

Tensorflow 2.0 implementation of the paper: A Fully Convolutional Neural Network for Speech Enhancement

code-server icon code-server

Non-root Docker image running Debian and code-server.

comparxiv icon comparxiv

Compare two version of an arXiv preprint with a single command.

comprehensive-transformer-tts icon comprehensive-transformer-tts

A Non-Autoregressive Transformer based TTS, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS.

css10 icon css10

CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages

ctc-asr icon ctc-asr

End-to-end trained speech recognition system, based on RNNs and the connectionist temporal classification (CTC) cost function.

ctcwordbeamsearch icon ctcwordbeamsearch

Connectionist Temporal Classification (CTC) decoder with dictionary and language model for TensorFlow.

cutmix icon cutmix

Keras Code for "CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features" https://arxiv.org/abs/1905.04899

dacidian icon dacidian

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

dataaugmentationtf icon dataaugmentationtf

Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.

dcase_util icon dcase_util

A collection of utilities for Detection and Classification of Acoustic Scenes and Events

deep-eos icon deep-eos

General-Purpose Neural Networks for Sentence Boundary Detection

deepasr icon deepasr

Keras(Tensorflow) implementations of Automatic Speech Recognition

deepasr-1 icon deepasr-1

基于神经网络端到端的中文语音识别项目

deepspeech icon deepspeech

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

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