activity
20192023
most citedMulti-head Monotonic Chunkwise Attention For Online Speech Recognition

13 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2023★ 1 cited

DWFormer: Dynamic Window transFormer for Speech Emotion Recognition

Shuaiqi Chen, Xiaofen Xing, Weibin Zhang +2

Speech emotion recognition is crucial to human-computer interaction. The temporal regions that represent different emotions scatter in different parts of the speech locally. Moreov…

eess.AS2022

The CORAL++ Algorithm for Unsupervised Domain Adaptation of Speaker Recogntion

Rongjin Li, Weibin Zhang, Dongpeng Chen

State-of-the-art speaker recognition systems are trained with a large amount of human-labeled training data set. Such a training set is usually composed of various data sources to…

eess.AS2022

Internal Language Model Estimation Through Explicit Context Vector Learning for Attention-based Encoder-decoder ASR

Yufei Liu, Rao Ma, Haihua Xu +3

An end-to-end (E2E) ASR model implicitly learns a prior Internal Language Model (ILM) from the training transcripts. To fuse an external LM using Bayes posterior theory, the log li…

cs.CL2020★ 13 cited

Multi-head Monotonic Chunkwise Attention For Online Speech Recognition

Baiji Liu, Songjun Cao, Sining Sun +2

The attention mechanism of the Listen, Attend and Spell (LAS) model requires the whole input sequence to calculate the attention context and thus is not suitable for online speech…

cs.CL2019★ 6 cited

Essence Knowledge Distillation for Speech Recognition

Zhenchuan Yang, Chun Zhang, Weibin Zhang +2

It is well known that a speech recognition system that combines multiple acoustic models trained on the same data significantly outperforms a single-model system. Unfortunately, re…