Developing Real-time Streaming Transformer Transducer for Speech Recognition on Large-scale Dataset

no code implementations • 22 Oct 2020 • Xie Chen, Yu Wu, Zhenghao Wang, Shujie Liu, Jinyu Li

Recently, Transformer based end-to-end models have achieved great success in many areas including speech recognition.

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

Advances in Online Audio-Visual Meeting Transcription

no code implementations • 10 Dec 2019 • Takuya Yoshioka, Igor Abramovski, Cem Aksoylar, Zhuo Chen, Moshe David, Dimitrios Dimitriadis, Yifan Gong, Ilya Gurvich, Xuedong Huang, Yan Huang, Aviv Hurvitz, Li Jiang, Sharon Koubi, Eyal Krupka, Ido Leichter, Changliang Liu, Partha Parthasarathy, Alon Vinnikov, Lingfeng Wu, Xiong Xiao, Wayne Xiong, Huaming Wang, Zhenghao Wang, Jun Zhang, Yong Zhao, Tianyan Zhou

This increases marginally to 1. 6% when 50% of the attendees are unknown to the system.

speaker-diarization Speaker Diarization +2

Large-scale L-BFGS using MapReduce

no code implementations • NeurIPS 2014 • Weizhu Chen, Zhenghao Wang, Jingren Zhou

L-BFGS has been applied as an effective parameter estimation method for various machine learning algorithms since 1980s.

BIG-bench Machine Learning