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20182022
most citedStyle Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis

542 citations · 1.8k across the 25 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

eess.AS2019★ 11 cited

ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech

Xin Wang, Junichi Yamagishi, Massimiliano Todisco +37

Automatic speaker verification (ASV) is one of the most natural and convenient means of biometric person recognition. Unfortunately, just like all other biometric systems, ASV is v…

cs.CL2019

Speech Recognition with Augmented Synthesized Speech

Andrew Rosenberg, Yu Zhang, Bhuvana Ramabhadran +4

Recent success of the Tacotron speech synthesis architecture and its variants in producing natural sounding multi-speaker synthesized speech has raised the exciting possibility of…

cs.CL2019★ 26 cited

Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning

Yu Zhang, Ron J. Weiss, Heiga Zen +6

We present a multispeaker, multilingual text-to-speech (TTS) synthesis model based on Tacotron that is able to produce high quality speech in multiple languages. Moreover, the mode…

cs.SD2019★ 23 cited

LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech

Heiga Zen, Viet Dang, Rob Clark +5

This paper introduces a new speech corpus called "LibriTTS" designed for text-to-speech use. It is derived from the original audio and text materials of the LibriSpeech corpus, whi…

cs.CL2019★ 22 cited

Direct speech-to-speech translation with a sequence-to-sequence model

Ye Jia, Ron J. Weiss, Fadi Biadsy +4

We present an attention-based sequence-to-sequence neural network which can directly translate speech from one language into speech in another language, without relying on an inter…

eess.AS2019★ 19 cited

Parrotron: An End-to-End Speech-to-Speech Conversion Model and its Applications to Hearing-Impaired Speech and Speech Separation

Fadi Biadsy, Ron J. Weiss, Pedro J. Moreno +2

We describe Parrotron, an end-to-end-trained speech-to-speech conversion model that maps an input spectrogram directly to another spectrogram, without utilizing any intermediate di…

cs.LG2019★ 184 cited

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

Jonathan Shen, Patrick Nguyen, Yonghui Wu +88

Lingvo is a Tensorflow framework offering a complete solution for collaborative deep learning research, with a particular focus towards sequence-to-sequence models. Lingvo models a…