Frequency line tracking using HMM-based schemes

被引:29
|
作者
Paris, S [1 ]
Jauffret, C [1 ]
机构
[1] Univ Toulon & Var, Signal Informat & Syst Lab, F-83957 La Garde, France
关键词
D O I
10.1109/TAES.2003.1207256
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
This paper deals with fluctuating line tracking, present on the so-called lofargram encountered in any passive sonar system. Considering such a line as a random walk modeled by a first-order Markov chain, we have recourse to the hidden Markov models (HMMs) arsenal. More precisely, we propose to track a frequency line with Viterbi and Forward-Backward algorithms. The originality of this work comes from the fact that a "probabilistic integration of the spectral power" approach allows us to construct a signal-to-noise (SNR)-knowledge-free method. Intensive simulations reveal no loss of performance.
引用
收藏
页码:439 / 449
页数:11
相关论文
共 50 条
  • [21] HMM-based on-line multi-stroke sketch recognition
    Jiang, W
    Sun, ZX
    PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9, 2005, : 4564 - 4570
  • [22] Speaker-independent HMM-based voice conversion using adaptive quantization of the fundamental frequency
    Nose, Takashi
    Kobayashi, Takao
    SPEECH COMMUNICATION, 2011, 53 (07) : 973 - 985
  • [23] HMM-Based Trust Model
    Elsalamouny, Ehab
    Sassone, Vladimiro
    Nielsen, Mogens
    FORMAL ASPECTS IN SECURITY AND TRUST, 2010, 5983 : 21 - +
  • [24] An HMM-Based Reputation Model
    ElSalamouny, Ehab
    Sassone, Vladimiro
    ADVANCES IN SECURITY OF INFORMATION AND COMMUNICATION NETWORKS, 2013, 381 : 111 - +
  • [25] HMM-based speech enhancement using harmonic modeling
    Deisher, ME
    Spanias, AS
    1997 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I - V: VOL I: PLENARY, EXPERT SUMMARIES, SPECIAL, AUDIO, UNDERWATER ACOUSTICS, VLSI; VOL II: SPEECH PROCESSING; VOL III: SPEECH PROCESSING, DIGITAL SIGNAL PROCESSING; VOL IV: MULTIDIMENSIONAL SIGNAL PROCESSING, NEURAL NETWORKS - VOL V: STATISTICAL SIGNAL AND ARRAY PROCESSING, APPLICATIONS, 1997, : 1175 - 1178
  • [26] An adaptive java tutorials using HMM-based approach
    Khamparia, Aditya
    Pandey, Babita
    Advances in Intelligent Systems and Computing, 2019, 669 : 101 - 111
  • [27] BIRD SPECIES RECOGNITION FROM FIELD RECORDINGS USING HMM-BASED MODELLING OF FREQUENCY TRACKS
    Jancovic, Peter
    Koekueer, Muenevver
    Russell, Martin
    2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2014,
  • [28] Script-independent, HMM-based text line finding for OCR
    Lu, ZD
    Schwartz, R
    Raphael, C
    15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 4, PROCEEDINGS: APPLICATIONS, ROBOTICS SYSTEMS AND ARCHITECTURES, 2000, : 551 - 554
  • [29] Control of Fundamental Frequency Contours Using the Generation Process Model in HMM-Based Speech Synthesis
    Matsuda, Tetsuya
    Hirose, Keikichi
    Minematsu, Nobuaki
    2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III, 2010, : 617 - 620
  • [30] Improved Generation of Fundemental Frequency in HMM-Based Speech Synthesis Using Generation Process Model
    Wang, Miaomiao
    Wen, Miaomiao
    Hirose, Keikichi
    Minematsu, Nobuaki
    11TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2010 (INTERSPEECH 2010), VOLS 3 AND 4, 2010, : 2166 - +