Yuxuan Wang

A Unified Sequence-to-Sequence Front-End Model for Mandarin Text-to-Speech Synthesis

2020

In Mandarin text-to-speech (TTS) system, the front-end text processing module significantly influences the intelligibility and naturalness of synthesized speech. Building a typical pipeline-based front-end which consists of multiple individual components requires extensive efforts. In this …

Network-Level Adversaries in Federated Learning

2022 · arXiv (Cornell University)

Federated learning is a popular strategy for training models on distributed, sensitive data, while preserving data privacy. Prior work identified a range of security threats on federated learning protocols that poison the data or the …

Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

2017 · arXiv (Cornell University)

This paper describes Tacotron 2, a neural network architecture for speech synthesis directly from text. The system is composed of a recurrent sequence-to-sequence feature prediction network that maps character embeddings to mel-scale spectrograms, followed by …

Towards Better

2018 · Proceedings of the

This paper describes our system (HIT-SCIR) submitted to the CoNLL 2018 shared task on Multilingual Parsing from Raw Text to Universal Dependencies. We base our submission on Stanford's winning system for the CoNLL 2017 shared …

Tacotron: Towards End-to-End Speech Synthesis

2017

A text-to-speech synthesis system typically consists of multiple stages, such as a text analysis frontend, an acoustic model and an audio synthesis module.Building these components often requires extensive domain expertise and may contain brittle design …

Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

2018

This paper describes Tacotron 2, a neural network architecture for speech synthesis directly from text. The system is composed of a recurrent sequence-to-sequence feature prediction network that maps character embeddings to mel-scale spectrograms, followed by …

Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing

2019

Yuxuan Wang, Wanxiang Che, Jiang Guo, Yijia Liu, Ting Liu. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.