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08/31/2023
Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data
Few-shot keyword spotting (FS-KWS) models usually require large-scale an...
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02/26/2023
Scalable Weight Reparametrization for Efficient Transfer Learning
This paper proposes a novel, efficient transfer learning method, called ...
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02/10/2023
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
This paper proposes a novel batch normalization strategy for test-time a...
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06/28/2022
QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design
This technical report describes the details of our TASK1A submission of ...
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06/28/2022
Personalized Keyword Spotting through Multi-task Learning
Keyword spotting (KWS) plays an essential role in enabling speech-based ...
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06/28/2022
Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting
Keyword spotting is the task of detecting a keyword in streaming audio. ...
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06/24/2022
Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification
While using two-dimensional convolutional neural networks (2D-CNNs) in i...
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11/12/2021
Domain Generalization on Efficient Acoustic Scene Classification using Residual Normalization
It is a practical research topic how to deal with multi-device audio inp...
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06/08/2021
Broadcasted Residual Learning for Efficient Keyword Spotting
Keyword spotting is an important research field because it plays a key r...
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10/11/2019
Query-by-example on-device keyword spotting
A keyword spotting (KWS) system determines the existence of, usually pre...
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10/10/2019