SPEECH OVERLAP DETECTION USING CONVOLUTIVE NON-NEGATIVE SPARSE CODING: NEW IMPROVEMENTS AND INSIGHTS

被引：0

作者：

Geiger, Juergen T. ^{[1
]}

Vipperla, Ravichander ^{[2
]}

Evans, Nicholas ^{[2
]}

Schuller, Bjoern ^{[1
]}

Rigoll, Gerhard ^{[1
]}

机构：

[1] Tech Univ Munich, Inst Human Machine Commun, D-8000 Munich, Germany

[2] EURECOM, Multimedia Commun Dept, Sophia Antipolis, France

来源：

2012 PROCEEDINGS OF THE 20TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2012年

关键词：

speech overlap detection; convolutive non-negative sparse coding; speaker diarization;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents recent advances in the application of convolutive non-negative sparse coding (CNSC) to the problem of overlap detection in the context of conference meetings and speaker diarization. CNSC is used to project a mixed speaker signal onto separate speaker bases and hence to detect intervals of competing speech. We present new energy ratio and total energy features which give signicant improvements over our previous work. The system is assessed using a subset of the AMI meeting corpus. We report results which are comparable to the state of the art which support the potential of a new approach to overlap detection. An analysis of system performance highlights the importance of further work to addresses weaknesses in detecting particularly short segments of overlapping speech.

引用

页码：340 / 344

页数：5

共 50 条

[41] Combining Non-negative Matrix Factorization and Sparse Coding for Functional Brain Overlapping Community Detection
X. Li
Z. Hu
H. Wang
Cognitive Computation, 2018, 10 : 991 - 1005
[42] Single-Channel Speech Separation using Sparse Non-Negative Matrix Factorization
Schmidt, Mikkel N.
Olsson, Rasmus K.
INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, VOLS 1-5, 2006, : 2614 - 2617
[43] Combining Non-negative Matrix Factorization and Sparse Coding for Functional Brain Overlapping Community Detection
Li, X.
Hu, Z.
Wang, H.
COGNITIVE COMPUTATION, 2018, 10 (06) : 991 - 1005
[44] Image Classification by Non-Negative Sparse Coding, Low-Rank and Sparse Decomposition
Zhang, Chunjie
Liu, Jing
Tian, Qi
Xu, Changsheng
Lu, Hanqing
Ma, Songde
2011 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2011, : 1673 - 1680
[45] Sparse coding of human motion trajectories with non-negative matrix factorization
Vollmer, Christian
Hellbach, Sven
Eggert, Julian
Gross, Horst-Michael
NEUROCOMPUTING, 2014, 124 : 22 - 32
[46] A New Denoising Approach for Sound Signals Based on Non-negative Sparse Coding of Power Spectra
Shang, Li
Cao, Fengwen
Zhang, Jinfeng
ADVANCES IN NEURAL NETWORKS - ISNN 2008, PT 2, PROCEEDINGS, 2008, 5264 : 359 - 366
[47] Convex Hull Convolutive Non-negative Matrix Factorization Based Speech Enhancement For Multimedia Communication
Wang, Dongxia
Cui, Jie
Wang, Jinghua
Tan, Huan
Xu, Ming
2022 6TH INTERNATIONAL CONFERENCE ON CRYPTOGRAPHY, SECURITY AND PRIVACY, CSP 2022, 2022, : 138 - 142
[48] SPARSE NON-NEGATIVE DECOMPOSITION OF SPEECH POWER SPECTRA FOR FORMANT TRACKING
Durrieu, Jean-Louis
Thiran, Jean-Philippe
2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2011, : 5260 - 5263
[49] Constrained non-negative sparse coding using learnt instrument templates for realtime music transcription
Carabias-Orti, J. J.
Rodriguez-Serrano, F. J.
Vera-Candeas, P.
Canadas-Quesada, F. J.
Ruiz-Reyes, N.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2013, 26 (07) : 1671 - 1680
[50] Natural image compression using an extended non-negative sparse coding neural network technique
Shang, L
Huang, DS
Zheng, CH
Sun, ZL
PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), VOLS 1-5, 2005, : 1866 - 1871

← 1 2 3 4 5 →