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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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02/26/2023
Scalable Weight Reparametrization for Efficient Transfer Learning
This paper proposes a novel, efficient transfer learning method, called ...
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11/30/2022
Quadapter: Adapter for GPT-2 Quantization
Transformer language models such as GPT-2 are difficult to quantize beca...
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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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11/24/2021
Distribution Estimation to Automate Transformation Policies for Self-Supervision
In recent visual self-supervision works, an imitated classification obje...
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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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11/11/2021
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation
While hand pose estimation is a critical component of most interactive e...
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10/07/2021
Self-Evolutionary Optimization for Pareto Front Learning
Multi-task learning (MTL), which aims to improve performance by learning...
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06/25/2021
PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation
As edge devices become prevalent, deploying Deep Neural Networks (DNN) o...
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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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03/25/2021
SubSpectral Normalization for Neural Audio Data Processing
Convolutional Neural Networks are widely used in various machine learnin...
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03/25/2021
Prototype-based Personalized Pruning
Nowadays, as edge devices such as smartphones become prevalent, there ar...
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01/15/2019
URNet : User-Resizable Residual Networks with Conditional Gating Module
Convolutional Neural Networks are widely used to process spatial scenes,...
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11/29/2018
Image Translation to Mixed-Domain using Sym-Parameterized Generative Network
Recent advances in image-to-image translation have led to some ways to g...
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11/11/2018
Towards Governing Agent's Efficacy: Action-Conditional β-VAE for Deep Transparent Reinforcement Learning
We tackle the blackbox issue of deep neural networks in the settings of ...
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12/07/2017
Broadcasting Convolutional Network
While convolutional neural networks (CNNs) are widely used for handling ...
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09/05/2017