🐸（青蛙）TTS
https://github.com/coqui-ai/TTS
For the first time, tts need to download a data model. If the download fails, it will fail for the second time. We need to remove empty data model folder from path below to make it do a retry download:
/home/hgneng/.local/share/tts/
希尔贝壳中文普通话语音数据库AISHELL-3的语音时长为85小时88035句，可做为多说话人合成系统。录制过程在安静室内环境中， 使用高保真麦克风（44.1kHz，16bit）。218名来自中国不同口音区域的发言人参与录制。专业语音校对人员进行拼音和韵律标注，并通过严格质量检验，此数据库音字确率在98%以上。
We’re building an open source, multi-language dataset of voices that anyone can use to train speech-enabled applications.
Includes both Cantonese and Mandarin Chinese!!
抽样粤语（Chinese Hong Kong）语音数据的质量不好，录音人声音不够清晰（不是声优级别的声音），背景噪音较大，标记文件有错。另外还有个Cantonese的分类。
感觉可能用现有的TTS生成数据质量会好得多。
According to https://docs.coqui.ai/en/stable/models/xtts.html , it supports Chinese.
run this to check:
tts --model_name tts_models/multilingual/multi-dataset/xtts_v2 \
--list_language_idxWhen it fails download, try to set proxy (pay attention that it's "http" for https_proxy):
它和Coqui一样都可以通过Python TTS模块调用（这是因为Coqui是Mozilla派生出来的）
https://github.com/mozilla/TTS
Coqui TTS (formerly Mozilla TTS):
一个集成过个TTS的服务框架，可以了解一些常用的TTS。
https://github.com/atomicoo/FCH-TTS
We may encounter issue of fail to download cmudict. We need to solve it like this:
$ python3
>>> import nltk
>>> nltk.set_proxy('127.0.0.1:7890')
>>> nltk.downlad('cmudict')
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