U2-KWS: Unified Two-pass Open-vocabulary Keyword Spotting with Keyword Bias

no code implementations • 15 Dec 2023 • Ao Zhang, Pan Zhou, Kaixun Huang, Yong Zou, Ming Liu, Lei Xie

Open-vocabulary keyword spotting (KWS), which allows users to customize keywords, has attracted increasingly more interest.

Keyword Spotting

Spike-Triggered Contextual Biasing for End-to-End Mandarin Speech Recognition

no code implementations • 7 Oct 2023 • Kaixun Huang, Ao Zhang, BinBin Zhang, Tianyi Xu, Xingchen Song, Lei Xie

However, unlike shallow fusion methods that directly bias the posterior of the ASR model, deep biasing methods implicitly integrate contextual information, making it challenging to control the degree of bias.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

SSHR: Leveraging Self-supervised Hierarchical Representations for Multilingual Automatic Speech Recognition

no code implementations • 29 Sep 2023 • Hongfei Xue, Qijie Shao, Kaixun Huang, Peikun Chen, Jie Liu, Lei Xie

Multilingual automatic speech recognition (ASR) systems have garnered attention for their potential to extend language coverage globally.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Adaptive Contextual Biasing for Transducer Based Streaming Speech Recognition

no code implementations • 1 Jun 2023 • Tianyi Xu, Zhanheng Yang, Kaixun Huang, Pengcheng Guo, Ao Zhang, Biao Li, Changru Chen, Chao Li, Lei Xie

By incorporating additional contextual information, deep biasing methods have emerged as a promising solution for speech recognition of personalized words.

speech-recognition Speech Recognition

Contextualized End-to-End Speech Recognition with Contextual Phrase Prediction Network

no code implementations • 21 May 2023 • Kaixun Huang, Ao Zhang, Zhanheng Yang, Pengcheng Guo, Bingshen Mu, Tianyi Xu, Lei Xie

In this study, we introduce a contextual phrase prediction network for an attention-based deep bias method.

speech-recognition Speech Recognition