MuLanTTS: The Microsoft Speech Synthesis System for Blizzard Challenge 2023

no code implementations • 6 Sep 2023 • Zhihang Xu, Shaofei Zhang, Xi Wang, Jiajun Zhang, Wenning Wei, Lei He, Sheng Zhao

In this paper, we present MuLanTTS, the Microsoft end-to-end neural text-to-speech (TTS) system designed for the Blizzard Challenge 2023.

Speech Synthesis

On Addressing Practical Challenges for RNN-Transducer

no code implementations • 27 Apr 2021 • Rui Zhao, Jian Xue, Jinyu Li, Wenning Wei, Lei He, Yifan Gong

The first challenge is solved with a splicing data method which concatenates the speech segments extracted from the source domain data.

speech-recognition Speech Recognition

Developing RNN-T Models Surpassing High-Performance Hybrid Models with Customization Capability

no code implementations • 30 Jul 2020 • Jinyu Li, Rui Zhao, Zhong Meng, Yanqing Liu, Wenning Wei, Sarangarajan Parthasarathy, Vadim Mazalov, Zhenghao Wang, Lei He, Sheng Zhao, Yifan Gong

Because of its streaming nature, recurrent neural network transducer (RNN-T) is a very promising end-to-end (E2E) model that may replace the popular hybrid model for automatic speech recognition.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1