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Fu Guanyu's Projects

a_basemodel_of_intent-detection icon 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。

ai-song-cover-rvc icon ai-song-cover-rvc

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

asr_tools_webui icon 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

basic_module icon 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 icon 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 icon espnet

End-to-End Speech Processing Toolkit

funcodec icon funcodec

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

gpt-sovits icon gpt-sovits

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

ja2ml-vits icon 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)

kan-tts icon 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

nlp_ability icon 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

pytorch_for_nlp icon 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

understanding-vits icon 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.

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