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pro vyhledávání: '"Du, Zongyang"'
Autor:
Salman, Ali N., Du, Zongyang, Chandra, Shreeram Suresh, Ulgen, Ismail Rasim, Busso, Carlos, Sisman, Berrak
Voice conversion (VC) research traditionally depends on scripted or acted speech, which lacks the natural spontaneity of real-life conversations. While natural speech data is limited for VC, our study focuses on filling in this gap. We introduce a no
Externí odkaz:
http://arxiv.org/abs/2406.04494
Many frameworks for emotional text-to-speech (E-TTS) rely on human-annotated emotion labels that are often inaccurate and difficult to obtain. Learning emotional prosody implicitly presents a tough challenge due to the subjective nature of emotions.
Externí odkaz:
http://arxiv.org/abs/2405.11413
Converting Anyone's Voice: End-to-End Expressive Voice Conversion with a Conditional Diffusion Model
Expressive voice conversion (VC) conducts speaker identity conversion for emotional speakers by jointly converting speaker identity and emotional style. Emotional style modeling for arbitrary speakers in expressive VC has not been extensively explore
Externí odkaz:
http://arxiv.org/abs/2405.01730
Speaker embeddings carry valuable emotion-related information, which makes them a promising resource for enhancing speech emotion recognition (SER), especially with limited labeled data. Traditionally, it has been assumed that emotion information is
Externí odkaz:
http://arxiv.org/abs/2401.11017
Expressive voice conversion performs identity conversion for emotional speakers by jointly converting speaker identity and emotional style. Due to the hierarchical structure of speech emotion, it is challenging to disentangle the emotional style for
Externí odkaz:
http://arxiv.org/abs/2110.10326
Traditional voice conversion(VC) has been focused on speaker identity conversion for speech with a neutral expression. We note that emotional expression plays an essential role in daily communication, and the emotional style of speech can be speaker-
Externí odkaz:
http://arxiv.org/abs/2107.03748
Cross-lingual voice conversion aims to change source speaker's voice to sound like that of target speaker, when source and target speakers speak different languages. It relies on non-parallel training data from two different languages, hence, is more
Externí odkaz:
http://arxiv.org/abs/2008.04562
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