859 citations · 2.2k across the 80 of their papers we have counts for
4 papers · 1 filter
Text Injection for Neural Contextual Biasing
Zhong Meng, Zelin Wu, Rohit Prabhavalkar +5
Neural contextual biasing effectively improves automatic speech recognition (ASR) for crucial phrases within a speaker's context, particularly those that are infrequent in the trai…
Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation
Wen Wu, Bo Li, Chao Zhang +5
The subjective perception of emotion leads to inconsistent labels from human annotators. Typically, utterances lacking majority-agreed labels are excluded when training an emotion…
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…
USM-Lite: Quantization and Sparsity Aware Fine-tuning for Speech Recognition with Universal Speech Models
Shaojin Ding, David Qiu, David Rim +10
End-to-end automatic speech recognition (ASR) models have seen revolutionary quality gains with the recent development of large-scale universal speech models (USM). However, deploy…