REVERBERATION FEATURES IDENTIFICATION FROM MUSIC RECORDINGS USING THE DISCRETE WAVELET TRANSFORM

被引：1
|
作者：
Gang, Ren [1 ]
Bocko, Mark F. [1 ]
Headlam, Dave [1 ]
机构：
[1] Univ Rochester, Edmund A Hajim Sch Engn & Appl Sci, Dept Elect & Comp Engn, Rochester, NY 14627 USA
来源：
2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2010年
关键词：
Reverberation; Discrete Wavelet Transform; Music Scene Analysis; Feature Extraction; Acoustic Measurement;
D O I：
10.1109/ICASSP.2010.5496094
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
This paper presents a method of extracting reverberation features from music recordings. First, we perform a short time Fourier transform to transform the audio signal into a 2D time-frequency representation in which reverberation features appear as blurring of spectral features in the time dimension. Employing image analysis method we may quantitatively estimate the amount of reverberation by transforming the STFT "image" to a wavelet domain where we can perform efficient edge detection and characterization. Experiments demonstrate that quantitative estimates of reverberation time extracted in this way are strongly correlated with physical measurements.
引用
收藏
页码：161 / 164
页数：4
相关论文
共 50 条
  • [1] Parameter Identification using Discrete Wavelet Transform
    Ohkami, T.
    Koyama, S.
    [J]. PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY, 2010, 93
  • [2] Device Identification Using Discrete Wavelet Transform
    Yadav, Supriya
    Khanna, Pooja R.
    Howells, Gareth
    [J]. 2021 7TH INTERNATIONAL CONFERENCE ON ENGINEERING AND EMERGING TECHNOLOGIES (ICEET 2021), 2021, : 115 - 120
  • [3] Classification of Macula Edema Using Discrete Wavelet Transform Features
    Yun, Wong Li
    Koh, Joel E. W.
    [J]. JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2014, 4 (04) : 628 - 633
  • [4] FACE IDENTIFICATION USING WAVELET TRANSFORM OF SIFT FEATURES
    Omidyeganeh, Mona
    Shirmohammadi, Shervin
    Laganiere, Robert
    Youmaran, Richard
    Javadtalab, Abbas
    [J]. ELECTRONIC PROCEEDINGS OF THE 2013 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO WORKSHOPS (ICMEW), 2013,
  • [5] COLOR LASER PRINTER IDENTIFICATION BY ANALYZING STATISTICAL FEATURES ON DISCRETE WAVELET TRANSFORM
    Choi, Jung-Ho
    Im, Dong-Hyuck
    Lee, Hae-Yeoun
    Oh, Jun-Taek
    Ryu, Jin-Ho
    Lee, Heung-Kyu
    [J]. 2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6, 2009, : 1505 - +
  • [6] Identification of Resting and Active State EEG Features of Alzheimer's Disease using Discrete Wavelet Transform
    Ghorbanian, Parham
    Devilbiss, David M.
    Verma, Ajay
    Bernstein, Allan
    Hess, Terry
    Simon, Adam J.
    Ashrafiuon, Hashem
    [J]. ANNALS OF BIOMEDICAL ENGINEERING, 2013, 41 (06) : 1243 - 1257
  • [7] Identification of Resting and Active State EEG Features of Alzheimer’s Disease using Discrete Wavelet Transform
    Parham Ghorbanian
    David M. Devilbiss
    Ajay Verma
    Allan Bernstein
    Terry Hess
    Adam J. Simon
    Hashem Ashrafiuon
    [J]. Annals of Biomedical Engineering, 2013, 41 : 1243 - 1257
  • [8] The Features Extraction of Infants Cries by Using Discrete Wavelet Transform Techniques
    Chaiwachiragompol, Anyawee
    Suwannata, Nattawoot
    [J]. 2016 INTERNATIONAL ELECTRICAL ENGINEERING CONGRESS, IEECON2016, 2016, : 285 - 288
  • [9] Comparison of citrus fruit surface defect classification using discrete wavelet transform, stationary wavelet transform and wavelet packet transform based features
    Vijayarekha, K.
    [J]. Research Journal of Applied Sciences, Engineering and Technology, 2012, 4 (24) : 5502 - 5509
  • [10] Speech/Music Discrimination Based on Discrete Wavelet Transform
    Ntalampiras, Stavros
    Fakotakis, Nikos
    [J]. ARTIFICIAL INTELLIGENCE: THEORIES, MODELS AND APPLICATIONS, SETN 2008, 2008, 5138 : 205 - 211
12345