@inproceedings{d90ee17568a144fa9c8c0c30a0869fc7,
title = "Audio signal classification using time-frequency parameters",
abstract = "The ongoing advancements in the multimedia technologies drive the need for efficient classification of the audio signals to make the content-based retrieval process more accurate and much easier from huge databases. The challenge of this task lies in an accurate extraction of signal characteristics so as to derive a strong discriminatory feature suitable for retrieval process. A time-frequency approach for audio classification is proposed. The audio signals were decomposed using an adaptive time-frequency decomposition algorithm, and the signal decomposition parameter octave (scale) was used to create patterns based on a similarity measure of the audio signals. These patterns were used to generate templates to classify the audio signals into different categories. Initial studies have yielded a overall correct classification accuracy of 90% with a database of 64 audio segments.",
author = "Karthikeyan Umapathy and Sridhar Krishnan and Shihab Jimaa",
note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; 2002 IEEE International Conference on Multimedia and Expo, ICME 2002 ; Conference date: 26-08-2002 Through 29-08-2002",
year = "2002",
doi = "10.1109/ICME.2002.1035564",
language = "British English",
series = "Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "249--252",
booktitle = "Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002",
address = "United States",
}