32 citations · 60 across the 12 of their papers we have counts for
4 papers · 1 filter
Learning Phone Recognition from Unpaired Audio and Phone Sequences Based on Generative Adversarial Network
Da-rong Liu, Po-chun Hsu, Yi-chen Chen +4
ASR has been shown to achieve great performance recently. However, most of them rely on massive paired data, which is not feasible for low-resource languages worldwide. This paper…
Parallel Synthesis for Autoregressive Speech Generation
Po-chun Hsu, Da-rong Liu, Andy T. Liu +1
Autoregressive neural vocoders have achieved outstanding performance in speech synthesis tasks such as text-to-speech and voice conversion. An autoregressive vocoder predicts a sam…
Adversarial Sample Detection for Speaker Verification by Neural Vocoders
Haibin Wu, Po-chun Hsu, Ji Gao +6
Automatic speaker verification (ASV), one of the most important technology for biometric identification, has been widely adopted in security-critical applications. However, ASV is…
Rhythm-Flexible Voice Conversion without Parallel Data Using Cycle-GAN over Phoneme Posteriorgram Sequences
Cheng-chieh Yeh, Po-chun Hsu, Ju-chieh Chou +2
Speaking rate refers to the average number of phonemes within some unit time, while the rhythmic patterns refer to duration distributions for realizations of different phonemes wit…