Search Results for author: Ed Lin

Found 3 papers, 2 papers with code

An End-to-end Architecture of Online Multi-channel Speech Separation

no code implementations • 7 Sep 2020 • Jian Wu, Zhuo Chen, Jinyu Li, Takuya Yoshioka, Zhili Tan, Ed Lin, Yi Luo, Lei Xie

Previously, we introduced a sys-tem, calledunmixing, fixed-beamformerandextraction(UFE), that was shown to be effective in addressing the speech over-lap problem in conversation transcription.

speech-recognition Speech Recognition +1

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FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition

1 code implementation • NeurIPS 2021 • Yichong Leng, Xu Tan, Linchen Zhu, Jin Xu, Renqian Luo, Linquan Liu, Tao Qin, Xiang-Yang Li, Ed Lin, Tie-Yan Liu

A straightforward solution to reduce latency, inspired by non-autoregressive (NAR) neural machine translation, is to use an NAR sequence generation model for ASR error correction, which, however, comes at the cost of significantly increased ASR error rate.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

1,281

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Adapting Large Language Model with Speech for Fully Formatted End-to-End Speech Recognition

1 code implementation • 17 Jul 2023 • Shaoshi Ling, Yuxuan Hu, Shuangbei Qian, Guoli Ye, Yao Qian, Yifan Gong, Ed Lin, Michael Zeng

Most end-to-end (E2E) speech recognition models are composed of encoder and decoder blocks that perform acoustic and language modeling functions.

Language Modelling Large Language Model +2

59,936

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