Improving Vision-Inspired Keyword Spotting Using Dynamic Module Skipping in Streaming Conformer Encoder-Reference-Cited by-同舟云学术

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Improving Vision-Inspired Keyword Spotting Using Dynamic Module Skipping in Streaming Conformer Encoder

Published:2024-04-14 Issue: Volume:7 Page:10386-10390
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Bittar Alexandre¹,Dixon Paul¹,Samragh Mohammad¹,Nishu Kumari¹,Naik Devang¹

Affiliation:

1. Apple

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447485.pdf?arnumber=10447485

Reference30 articles.

1. Robust speech recognition via large-scale weak supervision;Radford

2. Google USM: Scaling automatic speech recognition beyond 100 languages;Zhang,2023

3. BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition

4. Self-Training and Pre-Training are Complementary for Speech Recognition

5. w2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training

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