Heiga Zen

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Parallel Tacotron: Non-Autoregressive and Controllable TTS

Although neural end-to-end text-to-speech models can synthesize highly n...
10/22/2020 ∙ by Isaac Elias, et al. ∙ 0 ∙ share

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Non-Attentive Tacotron: Robust and Controllable Neural TTS Synthesis Including Unsupervised Duration Modeling

This paper presents Non-Attentive Tacotron based on the Tacotron 2 text-...
10/08/2020 ∙ by Jonathan Shen, et al. ∙ 0 ∙ share

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WaveGrad: Estimating Gradients for Waveform Generation

This paper introduces WaveGrad, a conditional model for waveform generat...
09/02/2020 ∙ by Nanxin Chen, et al. ∙ 5 ∙ share

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Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis

This paper proposes a hierarchical, fine-grained and interpretable laten...
02/06/2020 ∙ by Guangzhi Sun, et al. ∙ 0 ∙ share

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Generating diverse and natural text-to-speech samples using a quantized fine-grained VAE and auto-regressive prosody prior

Recent neural text-to-speech (TTS) models with fine-grained latent featu...
02/06/2020 ∙ by Guangzhi Sun, et al. ∙ 0 ∙ share

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

We present a multispeaker, multilingual text-to-speech (TTS) synthesis m...
07/09/2019 ∙ by Yu Zhang, et al. ∙ 0 ∙ share

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

This paper introduces a new speech corpus called "LibriTTS" designed for...
04/05/2019 ∙ by Heiga Zen, et al. ∙ 0 ∙ share

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

Lingvo is a Tensorflow framework offering a complete solution for collab...
02/21/2019 ∙ by Jonathan Shen, et al. ∙ 13 ∙ share

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Hierarchical Generative Modeling for Controllable Speech Synthesis

This paper proposes a neural end-to-end text-to-speech (TTS) model which...
10/16/2018 ∙ by Wei-Ning Hsu, et al. ∙ 0 ∙ share

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Sample Efficient Adaptive Text-to-Speech

We present a meta-learning approach for adaptive text-to-speech (TTS) wi...
09/27/2018 ∙ by Yutian Chen, et al. ∙ 2 ∙ share

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Parallel WaveNet: Fast High-Fidelity Speech Synthesis

The recently-developed WaveNet architecture is the current state of the ...
11/28/2017 ∙ by Aaron van den Oord, et al. ∙ 0 ∙ share

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WaveNet: A Generative Model for Raw Audio

This paper introduces WaveNet, a deep neural network for generating raw ...
09/12/2016 ∙ by Aaron van den Oord, et al. ∙ 0 ∙ share

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Fast, Compact, and High Quality LSTM-RNN Based Statistical Parametric Speech Synthesizers for Mobile Devices

Acoustic models based on long short-term memory recurrent neural network...
06/20/2016 ∙ by Heiga Zen, et al. ∙ 0 ∙ share

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Heiga Zen

Featured Co-authors

Bo Li

Yu Zhang

Oriol Vinyals

Nando de Freitas

Mohammad Norouzi

Yonghui Wu

Yuan Cao

Karen Simonyan

Koray Kavukcuoglu

Orhan Firat

Caglar Gulcehre

Parallel Tacotron: Non-Autoregressive and Controllable TTS

Non-Attentive Tacotron: Robust and Controllable Neural TTS Synthesis Including Unsupervised Duration Modeling

WaveGrad: Estimating Gradients for Waveform Generation

Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis

Generating diverse and natural text-to-speech samples using a quantized fine-grained VAE and auto-regressive prosody prior

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

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

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

Hierarchical Generative Modeling for Controllable Speech Synthesis

Sample Efficient Adaptive Text-to-Speech

Parallel WaveNet: Fast High-Fidelity Speech Synthesis

WaveNet: A Generative Model for Raw Audio

Fast, Compact, and High Quality LSTM-RNN Based Statistical Parametric Speech Synthesizers for Mobile Devices