2022
Dispeech: A Synthetic Toy Dataset for Speech Disentangling
ICASSP 2022accepted
Recently, a growing interest in unsupervised learning of disentangled representations has been observed, with successful applications to both synthetic and real data. In speech processing, such methods have been able to disentangle speakers’ attributes from verbal content. To have a better understan…