X-CCS

c_cpp_khbd

C/C++面试宝典

CantoneseWord2Vec

FastSpeech2

An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

mandarin-tts-frontend-python

mandarin_tacotron2_lpcnet

mandarn + tacotron2+ lpcnet

mandarin_tacotron_GL

tacotron+griffin Lim synthetic mandarin voice

phkit

phoneme toolkit

remove-watermarks

implementation of "On the Effectiveness of Visible Watermarks"

spleeter

Deezer source separation library including pretrained models.

WE-Tacotron

combine with BERT

X-CCS/mandarin_tacotron_GL

tacotron+griffin Lim synthetic mandarin voice

X-CCS/mandarin_tacotron2_lpcnet

mandarn + tacotron2+ lpcnet

X-CCS/Chinese_TTS

tensorflow for TTS (including Chinese English and other languages)

X-CCS/mandarin_tacotron2_world

mandarn + tacotron2+ world

X-CCS/tacotron2-melgan_mandarin

普通话tacotron2-melgan_mandarin

X-CCS/aimto408

这个repo是为了那些准备死磕计算机考研408的考研党准备的，当然你如果4门课中的部分也可以看看，欢迎star

X-CCS/ChineseTtsTflite

Android Chinese TTS Engine Base On Tensorflow TTS , use for TfLite Models Test。安卓离线中文TTS引擎，在TensorflowTTS基础上开发，用于TfLite模型测试。

X-CCS/convert_h5_to_tflite-int8-

Convert ".h5" model to ".tflite" model (with quantization_uint8)

X-CCS/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.

X-CCS/JavaGuide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

X-CCS/melgan_involution

基于involution的melgan，更加快速的音频合成方法

X-CCS/MockingBird

🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time

X-CCS/MOSNet

Implementation of "MOSNet: Deep Learning based Objective Assessment for Voice Conversion"

X-CCS/nara_wpe

Different implementations of "Weighted Prediction Error" for speech dereverberation

X-CCS/normalise

A module for normalising text.

X-CCS/offline_tts_java

离线版tts java版本

X-CCS/online_tts_pro

线上版本的TTS接口代码

X-CCS/PaddleBoBo

基于飞桨开发的虚拟主播

X-CCS/PaddleSpeech

Easy-to-use Speech Toolkit including SOTA ASR pipeline, influential TTS with text frontend and End-to-End Speech Simultaneous Translation.

X-CCS/Parakeet

PAddle PARAllel text-to-speech toolKIT (supporting Tacotron2, Transformer TTS, FastSpeech2/FastPitch, SpeedySpeech, WaveFlow and Parallel WaveGAN)

X-CCS/SingSynDemo

歌声合成的一些demo

X-CCS/sonic

Simple library to speed up or slow down speech

X-CCS/speech_dataset

The dataset of Speech Recognition

X-CCS/SpeechSyn_Involution

基于CVPR2020Involution改正后的AdaSpeech

X-CCS/TechCPP

【C++面试&C++学习指南】 这里整理了C++后端研发工程师面试和工作必备的知识点 。

X-CCS/TensorFlowTTS

:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, Korean, Chinese, German and Easy to adapt for other languages)

X-CCS/ttskit-1

text to speech toolkit. 好用的中文语音合成工具箱，包含语音编码器、语音合成器、声码器和可视化模块。

X-CCS/vits_chinese

vits chinese, tts chinese, tts mandarin 史上训练最简单，音质最好的语音合成系统

X-CCS/vogen

PyVogen：开源歌声合成引擎Vogen的python实现

X-CCS/wenet

Production First and Production Ready End-to-End Speech Recognition Toolkit