New speech harmonic structure measure and its applications to speech processing

被引：0
|
作者：
Yu, An-Tze [1 ,2 ]
Wang, Hsiao-Chuan [3 ,4 ]
机构：
[1] Department of Computer Science, National Chupei Senior High School, Hsinchu, Taiwan
[2] No. 3, Jungyang Rd., Jubei City, Hsinchu, 302, Taiwan
[3] Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan
[4] 101, Sec. 2, Kuang Fu Road, Hsinchu, 30055, Taiwan
来源：
Journal of the Acoustical Society of America | 2006年 / 120卷 / 05期
关键词：
The harmonic structure can be easily recognized in time-frequency representation of speech signals in adverse environment. The harmonicity is a measure of the completeness of a harmonic structure. This paper presents a new harmonic structure measure that extends the conventional harmonicity to a set of harmonicities. They are expressed in terms of the grid harmonicity; the temporal harmonicity; the segment-spectral harmonicity; and the segmental harmonicity. The grid harmonicity measures the completeness of individual harmonics in each frame. The grid harmonicities in a frame are summed up to form a temporal harmonicity for representing the strength of harmonicity. The segment-spectral harmonicity; computed by summing specific grid harmonicity over a segment; evaluates the integrity of individual harmonics across a segment. The segmental harmonicity evaluates the total strength of harmonic structure within a segment. This set of harmonicities is available for a systematic analysis of the harmonic structure and effective to several speech processing tasks. The applications to speech distortion analysis; robust fundamental frequency estimation; robust voicing detection; and speech enhancement are demonstrated. © 2006 Acoustical Society of America;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Journal article (JA)
引用
收藏
页码：2938 / 2949
相关论文
共 50 条
  • [1] New speech harmonic structure measure and its applications to speech processing
    Yu, An-Tze
    Wang, Hsiao-Chuan
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2006, 120 (05): : 2938 - 2949
  • [2] New speech harmonic structure measure and it application to post speech enhancement
    Yu, AT
    Wang, HC
    2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL I, PROCEEDINGS: SPEECH PROCESSING, 2004, : 729 - 732
  • [3] Speech Structure and Its Application to Robust Speech Processing
    Minematsu, Nobuaki
    Asakawa, Satoshi
    Suzuki, Masayuki
    Qiao, Yu
    NEW GENERATION COMPUTING, 2010, 28 (03) : 299 - 319
  • [4] Speech Structure and Its Application to Robust Speech Processing
    Nobuaki Minematsu
    Satoshi Asakawa
    Masayuki Suzuki
    Yu Qiao
    New Generation Computing, 2010, 28 : 299 - 319
  • [5] SPEECH PROCESSING - A PERSPECTIVE ON THE SCIENCE AND ITS APPLICATIONS
    FLANAGAN, JL
    DELRIESGO, CJ
    AT&T TECHNICAL JOURNAL, 1990, 69 (05): : 2 - 13
  • [6] Instantaneous Harmonic Analysis: Techniques and Applications to Speech Signal Processing
    Petrovsky, Alexander
    Azarov, Elias
    SPEECH AND COMPUTER, 2014, 8773 : 24 - 33
  • [7] COSH MEASURE FOR SPEECH PROCESSING
    GRAY, AH
    MARKEL, JD
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 1975, 58 : S97 - S97
  • [8] Decomposition of a bandpass signal and its applications to speech processing
    Kumaresan, R
    Allu, GK
    Swaminathan, J
    Wang, YD
    CONFERENCE RECORD OF THE THIRTY-SEVENTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2, 2003, : 2078 - 2082
  • [9] Sparse Linear Prediction and Its Applications to Speech Processing
    Giacobello, Daniele
    Christensen, Mads Graesboll
    Murthi, Manohar N.
    Jensen, Soren Holdt
    Moonen, Marc
    IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2012, 20 (05): : 1644 - 1657
  • [10] Symbolic segment dissimilarity measure and its applications in speech synthesis
    Batusek, R
    PROCEEDINGS OF THE 2002 IEEE WORKSHOP ON SPEECH SYNTHESIS, 2002, : 135 - 138
12345