End-to-End Low Resource Keyword Spotting Through Character Recognition and Beam-Search Re-Scoring-Reference-Cited by-同舟云学术

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End-to-End Low Resource Keyword Spotting Through Character Recognition and Beam-Search Re-Scoring

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Mekonnen Ephrem Tibebe¹,Brutti Alessio²,Falavigna Daniele²

Affiliation:

1. University of Trento,Italy

2. Fondazione Bruno Kessler,Trento,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746012.pdf?arnumber=9746012

Reference36 articles.

1. wav2vec: Unsupervised Pre-Training for Speech Recognition

2. Adam: A method for stochastic optimization;kingma;CoRR,2017

3. AST: Audio Spectrogram Transformer

4. Bayesian graph edit distance

5. Seed words based data selection for language model adaptation;gretter;Proc of 18-th MT-Summit,0

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GhostRNN: Reducing State Redundancy in RNN with Cheap Operations;INTERSPEECH 2023;2023-08-20

2. Wekws: A Production First Small-Footprint End-to-End Keyword Spotting Toolkit;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

3. mmEve;Proceedings of the 28th Annual International Conference on Mobile Computing And Networking;2022-10-14

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