activity
20192023
most citedAttention Back-end for Automatic Speaker Verification with Multiple Enrollment Utterances

24 citations · 66 across the 28 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

cs.SD2020★ 1 cited

Pretraining Strategies, Waveform Model Choice, and Acoustic Configurations for Multi-Speaker End-to-End Speech Synthesis

Erica Cooper, Xin Wang, Yi Zhao +2

We explore pretraining strategies including choice of base corpus with the aim of choosing the best strategy for zero-shot multi-speaker end-to-end synthesis. We also examine choic…

eess.AS2020

How Similar or Different Is Rakugo Speech Synthesizer to Professional Performers?

Shuhei Kato, Yusuke Yasuda, Xin Wang +2

We have been working on speech synthesis for rakugo (a traditional Japanese form of verbal entertainment similar to one-person stand-up comedy) toward speech synthesis that authent…

eess.AS2020

Learning Disentangled Phone and Speaker Representations in a Semi-Supervised VQ-VAE Paradigm

Jennifer Williams, Yi Zhao, Erica Cooper +1

We present a new approach to disentangle speaker voice and phone content by introducing new components to the VQ-VAE architecture for speech synthesis. The original VQ-VAE does not…

cs.CL2020★ 4 cited

An Investigation of the Relation Between Grapheme Embeddings and Pronunciation for Tacotron-based Systems

Antoine Perquin, Erica Cooper, Junichi Yamagishi

End-to-end models, particularly Tacotron-based ones, are currently a popular solution for text-to-speech synthesis. They allow the production of high-quality synthesized speech wit…

eess.AS2020★ 3 cited

Improved Prosody from Learned F0 Codebook Representations for VQ-VAE Speech Waveform Reconstruction

Yi Zhao, Haoyu Li, Cheng-I Lai +3

Vector Quantized Variational AutoEncoders (VQ-VAE) are a powerful representation learning framework that can discover discrete groups of features from a speech signal without super…

eess.AS2020★ 3 cited

Can Speaker Augmentation Improve Multi-Speaker End-to-End TTS?

Erica Cooper, Cheng-I Lai, Yusuke Yasuda +1

Previous work on speaker adaptation for end-to-end speech synthesis still falls short in speaker similarity. We investigate an orthogonal approach to the current speaker adaptation…