activity
20172024
most citedAttention-based End-to-End Models for Small-Footprint Keyword Spotting

9 citations · 14 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SD2024

Streaming Decoder-Only Automatic Speech Recognition with Discrete Speech Units: A Pilot Study

Peikun Chen, Sining Sun, Changhao Shan +2

Unified speech-text models like SpeechGPT, VioLA, and AudioPaLM have shown impressive performance across various speech-related tasks, especially in Automatic Speech Recognition (A…

cs.CL2024

Skipformer: A Skip-and-Recover Strategy for Efficient Speech Recognition

Wenjing Zhu, Sining Sun, Changhao Shan +2

Conformer-based attention models have become the de facto backbone model for Automatic Speech Recognition tasks. A blank symbol is usually introduced to align the input and output…

cs.SD2023★ 2 cited

Key Frame Mechanism For Efficient Conformer Based End-to-end Speech Recognition

Peng Fan, Changhao Shan, Sining Sun +2

Recently, Conformer as a backbone network for end-to-end automatic speech recognition achieved state-of-the-art performance. The Conformer block leverages a self-attention mechanis…

cs.SD2023★ 1 cited

A meta learning scheme for fast accent domain expansion in Mandarin speech recognition

Ziwei Zhu, Changhao Shan, Bihong Zhang +1

Spoken languages show significant variation across mandarin and accent. Despite the high performance of mandarin automatic speech recognition (ASR), accent ASR is still a challenge…

cs.SD2018★ 9 cited

Attention-based End-to-End Models for Small-Footprint Keyword Spotting

Changhao Shan, Junbo Zhang, Yujun Wang +1

In this paper, we propose an attention-based end-to-end neural approach for small-footprint keyword spotting (KWS), which aims to simplify the pipelines of building a production-qu…

cs.CL2017★ 2 cited

Attention-Based End-to-End Speech Recognition on Voice Search

Changhao Shan, Junbo Zhang, Yujun Wang +1

Recently, there has been a growing interest in end-to-end speech recognition that directly transcribes speech to text without any predefined alignments. In this paper, we explore t…