42 citations · 157 across the 18 of their papers we have counts for
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cs.SD2022★ 4 cited
Articulation GAN: Unsupervised modeling of articulatory learning
Gašper Beguš, Alan Zhou, Peter Wu +1
Generative deep neural networks are widely used for speech synthesis, but most existing models directly generate waveforms or spectral outputs. Humans, however, produce speech by c…
cs.CL2022★ 4 cited
Modeling speech recognition and synthesis simultaneously: Encoding and decoding lexical and sublexical semantic information into speech with no direct access to speech data
Gašper Beguš, Alan Zhou
Human speakers encode information into raw speech which is then decoded by the listeners. This complex relationship between encoding (production) and decoding (perception) is often…