Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.
huolongshe 032168f593 | 2 months ago | |
---|---|---|
app | 9 months ago | |
docs | 9 months ago | |
.gitignore | 9 months ago | |
Dockerfile | 9 months ago | |
LICENSE | 9 months ago | |
README.md | 2 months ago | |
application.yml | 9 months ago | |
build-docker.sh | 9 months ago | |
pack_model.py | 9 months ago | |
pip-install-reqs.sh | 9 months ago | |
requirements.txt | 9 months ago | |
run_model_server.py | 9 months ago |
拼接法和参数法是两种Text-To-Speech(TTS)技术路线。近年来参数TTS系统获得了广泛的应用。
参数TTS系统可分为两大模块:前端和后端。 前端包含文本正则、分词、多音字预测、文本转音素和韵律预测等模块,它的功能是把输入文本进行解析,获得音素、音调、停顿和位置等语言学特征。 后端包含时长模型、声学模型和声码器,它的功能是将语言学特征转换为语音。其中,时长模型的功能是给定语言学特征,获得每一个建模单元(例如:音素)的时长信息;声学模型则基于语言学特征和时长信息预测声学特征;声码器则将声学特征转换为对应的语音波形。
前端模块采用模型结合规则的方式灵活处理各种场景下的文本,后端模块则采用SAM-BERT + HIFIGAN提供高表现力的流式合成效果。
模型来源: https://www.modelscope.cn/models/damo/speech_sambert-hifigan_tts_zhimao_zh-cn_16k/summary
本模型基于 ServiceBoot微服务引擎 进行服务化封装,参见: 《CubeAI模型开发指南》
$ sh pip-install-reqs.sh
$ serviceboot start
或
$ python3 run_model_server.py
一键式本地容器化部署和运行,参见: 《CubeAI模型独立部署指南》 或 CubeAI Docker Builder
本模型服务可一键发布至 CubeAI智立方平台 进行共享和部署,参见: 《CubeAI模型发布指南》
No Description
Python Shell Text Dockerfile other
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》