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LaughNet: synthesizing laughter utterances from waveform silhouettes and a single laughter example. (arXiv:2110.04946v2 [cs.SD] UPDATED)
Jan. 27, 2022, 2:11 a.m. | Hieu-Thi Luong, Junichi Yamagishi
cs.LG updates on arXiv.org arxiv.org
Emotional and controllable speech synthesis is a topic that has received much
attention. However, most studies focused on improving the expressiveness and
controllability in the context of linguistic content, even though natural
verbal human communication is inseparable from spontaneous non-speech
expressions such as laughter, crying, or grunting. We propose a model called
LaughNet for synthesizing laughter by using waveform silhouettes as inputs. The
motivation is not simply synthesizing new laughter utterances, but testing a
novel synthesis-control paradigm that uses an …
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