Intelligent Single-Channel Methods for Multi-Source Audio Analysis
Verlag Dr. Hut
2015
207 Seiten
Deep Recurrent De-Noising Auto-Encoder and blind de-reverberation for reverberated speech recognition
Proceedings 39th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014, Florence, Italy
acceptance rate: 50
2014
The MERL/MELCO/TUM system for the REVERB Challenge using Deep Recurrent Neural Network Feature Enhancement
Proceedings REVERB Workshop, held in conjunction with ICASSP 2014 and HSCMA 2014, Florence, Italy
second best result
2014
Discriminatively Trained Recurrent Neural Networks for Single-Channel Speech Separation
Proceedings 2nd IEEE Global Conference on Signal and Information Processing, GlobalSIP, Machine Learning Applications in Speech Processing Symposium, Atlanta, GA, USA
2014
Feature Enhancement by Deep LSTM Networks for ASR in Reverberant Multisource Environments
Computer Speech and Language, Elsevier
2014
Vol. 28
Jul
pp. 888–902
Single-Channel Speech Separation With Memory-Enhanced Recurrent Neural Networks
Proceedings 39th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014, Florence, Italy
acceptance rate: 50
2014
On-Line Continuous-Time Music Mood Regression with Deep Recurrent Neural Networks
Proceedings 39th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014, Florence, Italy
acceptance rate: 50
2014
Introducing CURRENNT - the Munich open-source CUDA RecurREnt Neural Network Toolkit
Journal of Machine Learning Research
2014
15
5 pages
Emotional Analysis of Music: A Comparison of Methods
1161 - 1164
Proceedings of the 22nd ACM International Conference on Multimedia, MM 2014, Orlando, FL
2014