1 citations · 2 across the 4 of their papers we have counts for
4 papers
Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR
Junwen Bai, Bo Li, Qiujia Li +2
The end-to-end ASR model is often desired in the streaming multilingual scenario since it is easier to deploy and can benefit from pre-trained speech models such as powerful founda…
Massive End-to-end Models for Short Search Queries
Weiran Wang, Rohit Prabhavalkar, Dongseong Hwang +11
In this work, we investigate two popular end-to-end automatic speech recognition (ASR) models, namely Connectionist Temporal Classification (CTC) and RNN-Transducer (RNN-T), for of…
Modular Domain Adaptation for Conformer-Based Streaming ASR
Qiujia Li, Bo Li, Dongseong Hwang +2
Speech data from different domains has distinct acoustic and linguistic characteristics. It is common to train a single multidomain model such as a Conformer transducer for speech…
Knowledge Distillation from Multiple Foundation Models for End-to-End Speech Recognition
Xiaoyu Yang, Qiujia Li, Chao Zhang +1
Although large foundation models pre-trained by self-supervised learning have achieved state-of-the-art performance in many tasks including automatic speech recognition (ASR), know…