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Fully DNN-based Multi-label regression for audio tagging
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Fully DNN-based Multi-label regression for audio tagging

Yong-mei Xu
Qiang Huang
Wenwu Wang
Philip J. B. Jackson
Mark D. Plumbley
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Papers citing "Fully DNN-based Multi-label regression for audio tagging"

4 / 4 papers shown
Title
MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech
MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech
Jakob Drachmann Havtorn
Jan Latko
Joakim Edin
Lasse Borgholt
Lars Maaløe
Lorenzo Belgrano
Nicolai Frost Jakobsen
R. Sdun
Zeljko Agic
36
3
0
02 May 2020
Acoustic Features Fusion using Attentive Multi-channel Deep Architecture
Acoustic Features Fusion using Attentive Multi-channel Deep Architecture
Gaurav Bhatt
Akshita Gupta
Aditya Arora
Balasubramanian Raman
67
3
0
02 Nov 2018
Surrey-cvssp system for DCASE2017 challenge task4
Surrey-cvssp system for DCASE2017 challenge task4
Yong-mei Xu
Qiuqiang Kong
Wenwu Wang
Mark D. Plumbley
66
37
0
02 Sep 2017
Attention and Localization based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging
Attention and Localization based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging
Yong-mei Xu
Qiuqiang Kong
Qiang Huang
Wenwu Wang
Mark D. Plumbley
64
68
0
17 Mar 2017