Neuro-fuzzy clustering techniques for complex acoustic scenarios

被引:0
|
作者
Rinaldo Poluzzi
Alberto Savi
Davide Vago
Giuseppe Martina
机构
[1] Centro Direzionale Colleoni,ST Microelectronics
[2] DSide,undefined
来源
关键词
Neuro-fuzzy network; Acoustic scenario; Time-frequency plane; Auditory scene analysis; Primary grouping;
D O I
暂无
中图分类号
学科分类号
摘要
An apparatus is described capable of detecting a specific sound among a sound mixture and of identifying the environmental acoustic scenario, to automatically adapt the apparatus to changing environmental conditions. Such an apparatus could be useful, for example, in the design of an ASR system robust to environmental noise. Starting from a time-frequency representation of the incoming signal, neuro-fuzzy clustering is performed on proper features extracted from time-frequency objects.
引用
收藏
页码:160 / 165
页数:5
相关论文
共 50 条
  • [21] A Neuro-Fuzzy Classification System Using Dynamic Clustering
    Singh, Heisnam Rohen
    Biswas, Saroj Kr
    Purkayastha, Biswajit
    MACHINE INTELLIGENCE AND SIGNAL ANALYSIS, 2019, 748 : 157 - 170
  • [22] Web personalization using neuro-fuzzy clustering algorithms
    Menon, K
    Dagli, CH
    NAFIPS'2003: 22ND INTERNATIONAL CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS PROCEEDINGS, 2003, : 525 - 529
  • [23] Supervised neuro-fuzzy clustering for life science applications
    Paetz, Juergen
    BIOLOGICAL AND MEDICAL DATA ANALYSIS, PROCEEDINGS, 2006, 4345 : 378 - 389
  • [24] Neuro-fuzzy control of complex manufacturing processes
    Shin, YC
    Vishnupad, P
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1996, 34 (12) : 3291 - 3309
  • [25] Spatial disorder in complex neuro-fuzzy dynamics
    Bucolo, M
    Fortuna, L
    PROGRESS OF THEORETICAL PHYSICS SUPPLEMENT, 2000, (139): : 445 - 452
  • [26] Estimation of train speed via neuro-fuzzy techniques
    Colla, V
    Vannucci, M
    Allotta, B
    Malvezzi, M
    ARTIFICIAL NEURAL NETS PROBLEM SOLVING METHODS, PT II, 2003, 2687 : 497 - 503
  • [27] Prediction of nasopharyngeal carcinoma recurrence by neuro-fuzzy techniques
    Kumdee, Orrawan
    Bhongmakapat, Thongchai
    Ritthipravat, Panrasee
    FUZZY SETS AND SYSTEMS, 2012, 203 : 95 - 111
  • [28] Neuro-fuzzy techniques for the classification of earthquake damages in buildings
    Alvanitopoulos, P. F.
    Andreadis, I.
    Elenas, A.
    MEASUREMENT, 2010, 43 (06) : 797 - 809
  • [29] Neuro-fuzzy techniques applied to a ship autopilot design
    Sutton, R
    Taylor, SDH
    Roberts, GN
    JOURNAL OF NAVIGATION, 1996, 49 (03): : 410 - 430
  • [30] Neuro-Fuzzy Techniques and Industry: Acceptability, Advantages and Perspectives
    Colla, Valentina
    Vannucci, Marco
    Reyneri, Leonardo M.
    ADVANCES IN NEURAL NETWORKS: COMPUTATIONAL INTELLIGENCE FOR ICT, 2016, 54 : 353 - 361