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20182022
most citedCompression of Acoustic Event Detection Models with Low-rank Matrix Factorization and Quantization Training

11 citations · 28 across the 11 of their papers we have counts for

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8 papers · 1 filter

eess.AS2020

On Front-end Gain Invariant Modeling for Wake Word Spotting

Yixin Gao, Noah D. Stein, Chieh-Chi Kao +4

Wake word (WW) spotting is challenging in far-field due to the complexities and variations in acoustic conditions and the environmental interference in signal transmission. A suite…

eess.AS2020

Intra-Utterance Similarity Preserving Knowledge Distillation for Audio Tagging

Chun-Chieh Chang, Chieh-Chi Kao, Ming Sun +1

Knowledge Distillation (KD) is a popular area of research for reducing the size of large models while still maintaining good performance. The outputs of larger teacher models are u…

eess.AS20201 cited

A Joint Framework for Audio Tagging and Weakly Supervised Acoustic Event Detection Using DenseNet with Global Average Pooling

Chieh-Chi Kao, Bowen Shi, Ming Sun +1

This paper proposes a network architecture mainly designed for audio tagging, which can also be used for weakly supervised acoustic event detection (AED). The proposed network cons…

eess.AS20202 cited

A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification

Chieh-Chi Kao, Ming Sun, Weiran Wang +1

Acoustic event classification (AEC) and acoustic event detection (AED) refer to the task of detecting whether specific target events occur in audios. As long short-term memory (LST…

eess.AS20192 cited

Sub-band Convolutional Neural Networks for Small-footprint Spoken Term Classification

Chieh-Chi Kao, Ming Sun, Yixin Gao +2

This paper proposes a Sub-band Convolutional Neural Network for spoken term classification. Convolutional neural networks (CNNs) have proven to be very effective in acoustic applic…

eess.AS2019

Compression of Acoustic Event Detection Models With Quantized Distillation

Bowen Shi, Ming Sun, Chieh-Chi Kao +3

Acoustic Event Detection (AED), aiming at detecting categories of events based on audio signals, has found application in many intelligent systems. Recently deep neural network sig…