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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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08/31/2023
Knowledge Distillation from Non-streaming to Streaming ASR Encoder using Auxiliary Non-streaming Layer
Streaming automatic speech recognition (ASR) models are restricted from ...
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04/25/2023
Depth-Relative Self Attention for Monocular Depth Estimation
Monocular depth estimation is very challenging because clues to the exac...
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03/10/2023
Semantic-Preserving Augmentation for Robust Image-Text Retrieval
Image text retrieval is a task to search for the proper textual descript...
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02/23/2023
Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers
Pre-trained Transformer models such as BERT have shown great success in ...
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02/02/2023
Vision Transformer-based Feature Extraction for Generalized Zero-Shot Learning
Generalized zero-shot learning (GZSL) is a technique to train a deep lea...
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01/29/2023
Exploring Attention Map Reuse for Efficient Transformer Neural Networks
Transformer-based deep neural networks have achieved great success in va...
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10/01/2022
A Comparison of Transformer, Convolutional, and Recurrent Neural Networks on Phoneme Recognition
Phoneme recognition is a very important part of speech recognition that ...
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03/19/2022
Similarity and Content-based Phonetic Self Attention for Speech Recognition
Transformer-based speech recognition models have achieved great success ...
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02/22/2022
Korean Tokenization for Beam Search Rescoring in Speech Recognition
The performance of automatic speech recognition (ASR) models can be grea...
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12/29/2021
Semantic Feature Extraction for Generalized Zero-shot Learning
Generalized zero-shot learning (GZSL) is a technique to train a deep lea...
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10/07/2021
