most citedPITS: Variational Pitch Inference without Fundamental Frequency for End-to-End Pitch-controllable TTS

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eess.AS2024

EnCLAP: Combining Neural Audio Codec and Audio-Text Joint Embedding for Automated Audio Captioning

Jaeyeon Kim, Jaeyoon Jung, Jinjoo Lee +1

We propose EnCLAP, a novel framework for automated audio captioning. EnCLAP employs two acoustic representation models, EnCodec and CLAP, along with a pretrained language model, BA…

eess.AS2023★ 1 cited

PITS: Variational Pitch Inference without Fundamental Frequency for End-to-End Pitch-controllable TTS

Junhyeok Lee, Wonbin Jung, Hyunjae Cho +2

Previous pitch-controllable text-to-speech (TTS) models rely on directly modeling fundamental frequency, leading to low variance in synthesized speech. To address this issue, we pr…