EricFuma

A_BASEMODEL_OF_INTENT-DETECTION

实现了一个意图检测的Baseline，并在 SMP2019 训练集上进行了简单的测试。模型还有许多地方需要调优，一些数据处理流程也不够规范，会在后续进行更新。

Pytorch_for_NLP

用pytorch处理中文/英文自然语言理解问题，记录如何一步步处理纯文本、使用深度学习模型解决问题，主要用于自己学习

KAN-TTS

KAN-TTS is a speech-synthesis training framework, please try the demos we have posted at https://modelscope.cn/models?page=1&tasks=text-to-speech

jianzhiOffer-Python-Coding

剑指OFFER第二版每一题的多解法思考（包括官方思路和Leetcode上一些巧妙的思路）

AI-Song-Cover-RVC

All in One Version : Youtube WAV Download, Separating Vocal, Splitting Audio, Training, and Inference Using Google Colab

Algorithm_github

依托Github项目，对典型题目做解答和剖析

ASR_TOOLS_WebUI

Bert-vits2转写和标注独立整合Webui,整合阿里FunAsr,必剪Asr以及Whisper大模型

audio-preprocess

Preprocess Audio for training

Basic_Module

用Numpy或Tensorflow矩阵操作实现卷积、self-attention、Seq2Seq-attention等基础模块的功能

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

espnet

End-to-End Speech Processing Toolkit

FunCodec

FunCodec is a research-oriented toolkit for audio quantization and downstream applications, such as text-to-speech synthesis, music generation et.al.

JA2ML-VITS

Japanese Dataset to Multi Language TTS （单一语种 --> 多语种 TTS，若训练出中文是否有大佐味）

megatts2

Unoffical implement of Megatts2

NLP-BaseModel

GPT-SoVITS

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

NLP_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

SECap

Understanding-VITS

In this repository, you will learn how code works in VITS(Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech) in Jupyter Notebooks, including normalizing data, training process, inference process, and model's details.