Pytorch POC 2: OpenTTS
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Based on last time keyword spotting topics on Chimay, I even mention items about TTS (text-to-speech) and showed POCs. Here I adopt Opentts to create a API server for speech and later ultrasound generation from Web.
In live opentts demo site, you can check the conventional (non-deep learning) speech synthesis (marytts, nanotts) and deep-learning ones (Mozillatts with Tacotron and Tacotron2). Deep-learing ones provide a beeter speech quality. A public MOS test results as below also show similar conclusions.
Demo wave file as
Swagger API also includes the following:
The following diagram is from mozzila project. It shows the whole picture of nature lanaugege iteration with end users. But, of course, it will be a long way to go.
References¶
- Chimay Architecture for Keyword spotting
- Paper with code- speech synthesis
- Diagram of mozillatts- Tacotron and Tacotron2
- TSS systems and models
- How to build a voice assistant with open source Rasa and Mozilla tools
- The CMU Pronouncing Dictionary
- Build End-To-End TTS Tacotron: Griffin Lim 信号估计算法
- Mozilla 研究：有些機器合成語音已經比真人聲音更悅耳