research
∙
01/15/2020
Improving GANs for Speech Enhancement
Generative adversarial networks (GAN) have recently been shown to be eff...
share
research
∙
07/30/2019
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning
Although large annotated sleep databases are publicly available, and mig...
research
∙
04/11/2019
Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch
Many sleep studies suffer from the problem of insufficient data to fully...
research
∙
04/06/2019
Spatio-Temporal Attention Pooling for Audio Scene Classification
Acoustic scenes are rich and redundant in their content. In this work, w...
research
∙
11/02/2018
Beyond Equal-Length Snippets: How Long is Sufficient to Recognize an Audio Scene?
Due to the variability in characteristics of audio scenes, some can natu...
research
∙
11/02/2018
Unifying Isolated and Overlapping Audio Event Detection with Multi-Label Multi-Task Convolutional Recurrent Neural Networks
We propose a multi-label multi-task framework based on a convolutional r...
research
∙
09/28/2018
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging
Automatic sleep staging has been often treated as a simple classificatio...
research
∙
05/16/2018
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
Sleep staging plays an important role in assessment and treatment of sle...
research
∙
12/06/2017
Enabling Early Audio Event Detection with Neural Networks
This paper presents a methodology for early detection of audio events fr...
research
∙
08/10/2017
DNN and CNN with Weighted and Multi-task Loss Functions for Audio Event Detection
This report presents our audio event detection system submitted for Task...
research
∙
07/11/2016
Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global Pooling
We trained a deep all-convolutional neural network with masked global po...
research
∙
07/08/2016
CaR-FOREST: Joint Classification-Regression Decision Forests for Overlapping Audio Event Detection
This report describes our submissions to Task2 and Task3 of the DCASE 20...
research
∙
07/08/2016
CNN-LTE: a Class of 1-X Pooling Convolutional Neural Networks on Label Tree Embeddings for Audio Scene Recognition
We describe in this report our audio scene recognition system submitted ...
research
∙
06/25/2016
Label Tree Embeddings for Acoustic Scene Classification
We present in this paper an efficient approach for acoustic scene classi...
research
∙
04/29/2016
Learning Compact Structural Representations for Audio Events Using Regressor Banks
We introduce a new learned descriptor for audio signals which is efficie...
research
∙
04/21/2016
Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks
We present in this paper a simple, yet efficient convolutional neural ne...
research
∙
03/18/2016
