most citedNaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers

38 citations · 78 across the 11 of their papers we have counts for

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eess.AS2023★ 38 cited

NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers

Kai Shen, Zeqian Ju, Xu Tan +6

Scaling text-to-speech (TTS) to large-scale, multi-speaker, and in-the-wild datasets is important to capture the diversity in human speech such as speaker identities, prosodies, an…

eess.AS2023★ 2 cited

FoundationTTS: Text-to-Speech for ASR Customization with Generative Language Model

Ruiqing Xue, Yanqing Liu, Lei He +4

Neural text-to-speech (TTS) generally consists of cascaded architecture with separately optimized acoustic model and vocoder, or end-to-end architecture with continuous mel-spectro…