97 citations
- Carnegie Mellon UniversityUS2 papers
- The University of AdelaideAU2 papers
- Allen (United States)US1 paper
- Apple (Germany)DE1 paper
- Australian Centre for Robotic VisionAU1 paper
- DELL (United States)US1 paper
- Duke UniversityUS1 paper
- Georgetown UniversityUS1 paper
- Imperial College LondonGB1 paper
- Indian Institute of Technology DelhiIN1 paper
- Indraprastha Institute of Information Technology DelhiIN1 paper
- Intel (United States)US1 paper
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eess.AS2019★ 2 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…
eess.AS2019
Semi-supervised Acoustic Event Detection based on tri-training
Bowen Shi, Ming Sun, Chieh-Chi Kao +3
This paper presents our work of training acoustic event detection (AED) models using unlabeled dataset. Recent acoustic event detectors are based on large-scale neural networks, wh…