Jonathan Shen | DeepAI

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∙ 08/28/2022

Training Text-To-Speech Systems From Synthetic Data: A Practical Approach For Accent Transfer Tasks

Transfer tasks in text-to-speech (TTS) synthesis - where one or more asp...

0 Lev Finkelstein, et al. ∙

∙ 02/01/2022

Examining Scaling and Transfer of Language Model Architectures for Machine Translation

Natural language understanding and generation models follow one of the t...

7 Biao Zhang, et al. ∙

∙ 03/28/2021

PnG BERT: Augmented BERT on Phonemes and Graphemes for Neural TTS

This paper introduces PnG BERT, a new encoder model for neural TTS. This...

0 Ye Jia, et al. ∙

∙ 03/26/2021

Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

This paper introduces Parallel Tacotron 2, a non-autoregressive neural t...

0 Isaac Elias, et al. ∙

∙ 10/22/2020

Parallel Tacotron: Non-Autoregressive and Controllable TTS

Although neural end-to-end text-to-speech models can synthesize highly n...

0 Isaac Elias, et al. ∙

∙ 10/08/2020

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-...

0 Jonathan Shen, et al. ∙

∙ 02/21/2019

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

Lingvo is a Tensorflow framework offering a complete solution for collab...

13 Jonathan Shen, et al. ∙

∙ 10/16/2018

Hierarchical Generative Modeling for Controllable Speech Synthesis

This paper proposes a neural end-to-end text-to-speech (TTS) model which...

0 Wei-Ning Hsu, et al. ∙

∙ 06/12/2018

Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis

We describe a neural network-based system for text-to-speech (TTS) synth...

0 Ye Jia, et al. ∙

∙ 12/16/2017

Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

This paper describes Tacotron 2, a neural network architecture for speec...

0 Jonathan Shen, et al. ∙

∙ 12/01/2016

In Teacher We Trust: Learning Compressed Models for Pedestrian Detection

Deep convolutional neural networks continue to advance the state-of-the-...

0 Jonathan Shen, et al. ∙

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