An overview of alternative Text-to-Speech providers and models you can use with the Voice Agent API. Voice Agent By defaultDeepgram Text-to-Speechwill be used with the Voice Agent API, but if you opt to use another provider’s TTS model with your Agent, you can do so by applying the ...
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Models introduction TTS system mainly includes three modules: Text Frontend, Acoustic model and Vocoder. We introduce a rule-based Chinese text frontend in cn_text_frontend.md. Here, we will introduce acoustic models and vocoders, which are trainable. The main processes of TTS include: Convert ...
Models introduction TTS system mainly includes three modules: Text Frontend, Acoustic model and Vocoder. We introduce a rule-based Chinese text frontend in cn_text_frontend.md. Here, we will introduce acoustic models and vocoders, which are trainable. The main processes of TTS include: Convert ...
Zero-shot TTS or foundation TTS models have evolved rapidly in the past year. The industry and academia have proposed various approaches to advance the technology, including Microsoft’s state-of-the-art research models such asVALL-E (X),FoundationTTS,NaturalSpeech, etc...
Deep learning for Text to Speech . Contribute to liuyikuikui/TTS development by creating an account on GitHub.
Zero-shot TTS or foundation TTS models have evolved rapidly in the past year. The industry and academia have proposed various approaches to advance the technology, including Microsoft’s state-of-the-art research models such asVALL-E (X),FoundationTTS,NaturalSpeech, etc...
Integrate these models seamlessly across your applications to enhance your projects with advanced AI capabilities. Learn more Model ID Model Type All Created Date Updated Date Training status openai-tts-1-hd Text To Audio Nov 10, 2023 Oct 17, 2024 Model Trained openai-tts-1 Text To...
Get Large Language Models Ready to Speak: A Late-fusion Approach for Speech Generation 2024.10.29 keywords: TTS,文本语音多模大模型,MOE,PEFT出版单位:MetaDemo page:Demo: https://maohaos2.github.io/TTS-Llama-MoLE-Llama/快速阅读:Meta微调了自己文本大模型Llama,通过LORA微调了两个模型——单模态TTS-...
Table 1: Comparison of MOS with 95% confidence intervals between different models. Method MOS-N MOS-P Ground Truth 4.68 (± 0.05) 4.58 (± 0.07) StyleTTS-VC 3.89 (± 0.09) 3.66 (± 0.10) YourTTS 3.70 (± 0.10) 3.45 (± 0.10) VQMIVC 2.85 (± 0.09) 2.50 (± 0.10) AGAIN-VC ...