Multi-Task Learning with Cross Attention for Keyword Spotting

Author:

Higuchil Takuya1,Gupta Anmol2,Dhir Chandra1

Affiliation:

1. Apple

2. The University of Hong Kong,Department of Computer Science

Publisher

IEEE

Reference28 articles.

1. An application of recurrent neural networks to discriminative keyword spotting;fernández;International Conference on Artificial Neural Networks,2007

2. Convolutional recurrent neural networks for small-footprint keyword spotting;arik;InterSpeech,0

3. Model Compression Applied to Small-Footprint Keyword Spotting

4. End-to-end Streaming Keyword Spotting

5. Stacked 1D Convolutional Networks for End-to-End Small Footprint Voice Trigger Detection

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1. Speech Keyword Spotting Method Based on Swin-Transformer Model;International Journal of Computational Intelligence Systems;2024-03-27

2. Retraction Note: COVID-19 Forecast and Bank Credit Decision Model Based on BiLSTM-Attention Network;International Journal of Computational Intelligence Systems;2024-03-27

3. Keyword Guided Target Speech Recognition;IEEE Signal Processing Letters;2024

4. Keyword-Specific Acoustic Model Pruning for Open-Vocabulary Keyword Spotting;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

5. Audio–visual keyword transformer for unconstrained sentence‐level keyword spotting;CAAI Transactions on Intelligence Technology;2023-03-20

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