11 citations · 25 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
Multimodal and Multi-view Models for Emotion Recognition
Gustavo Aguilar, Viktor Rozgić, Weiran Wang +1
Studies on emotion recognition (ER) show that combining lexical and acoustic information results in more robust and accurate models. The majority of the studies focus on settings w…
Compression of Acoustic Event Detection Models with Low-rank Matrix Factorization and Quantization Training
Bowen Shi, Ming Sun, Chieh-Chi Kao +3
In this paper, we present a compression approach based on the combination of low-rank matrix factorization and quantization training, to reduce complexity for neural network based…
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…