Automatic sound recognition for security purposes

Audio Engineering Society - 124th Audio Engineering Society Convention 2008

Volumn 2, Issue , 2008, Pages 705-712

  Zwan, Paweł ^a  

^a GDANSK UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO SIGNAL; AUDIO STREAM; AUDIO-VISUAL; AUTOMATIC RECOGNITION; FEATURE VECTORS; NONSTATIONARY NOISE; PARAMETER VALUES; PARAMETERIZED; RECOGNITION SYSTEMS; SOUND RECOGNITION;

ACOUSTIC NOISE; NOISE ABATEMENT; SOCIETIES AND INSTITUTIONS;

AUDIO ACOUSTICS;

EID: 84866522005     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Zwan P., Expert system for objectivization of judgments of singing voices (in Polish), Ph.D. Thesis (supervisor: Kostek B.), Gdansk University of Technology, Faculty of Electronics, Telecommunications and Informatics, Multimedia Systems Department, Gdansk, Poland, 2007.
2. Kostek B., "Perception-Based Data Processing in Acoustics. Applications to Music Information Retrieval and Psychophysiology of Hearing", Springer Verlag, Series on Cognitive Technologies, Berlin, Heidelberg, New York 2005.
3. Childers D. G., Skinner D. P., Kemerait R. C., The Cepstrum: A Guide to Processing, Proc. of the IEEE, vol. 65, 1428-1443, 1977.
4. Kostek B., Zwan P., Dziubinski M., Musical Sound Parameters Revisited, Proc. Music Acoustics Conference, 623-626, Stockholm, 2003.
5. Kostek B., Czyzewski A., Representing Musical Instrument Sounds for their Automatic Classification, J. Audio Eng. Soc., vol. 49, 768-785, 2001.
6. Cleveland T., Acoustic properties of voice timbre types and their influence on voice classification, J. Acoust. Soc. Am., vol. 61(6), 1622-1629, 1977.
7. Downie S., Music Information Retrieval, Annual Review of Information Science and Technology, vol. 37, 295-340, 2003.
8. Żwan P., Expert System for Automatic Classification and Quality Assessment of Singing Voices, Proc. 121 Audio Eng. Soc. Convention, San Francisco, USA, 2006.
9. Vizinho A., Green P., Cooke M., Josifovski L., Missing data theory, spectral subtraction and signal-tonoise estimation, for robust ASR: An integrated study, Proc. Eurospeech'99, pp.2407-2410, 1999.
10. Kim, W., Kang, S., Ko, H.S., Spectral subtraction based on phonetic dependency and masking effects, SP(147), No. 5, pp. 423-427, 2000.
11. Vaseghi S. V., Advanced Digital Signal Processing and Noise Reduction (Second Edition), InterScience 2001.
12. Vuskovic M.and Du. S., Spectral Moments for Feature Extraction, Signals. International Conference on Intelligent Competing (ICIC 2005), Hefei, China, 2005.
13. Lindsay A., Herre J., MPEG-7 and MPEG-7 Audio - An Overview, J. Audio Eng. Soc., vol. 49, No. 7/8, 589-594, 2001.
14. Sebestyen G.S., Decision-making processes in pattern recognition, Macmillan Publishing, Indianapolis, USA, 1965.