{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T15:05:19Z","timestamp":1649171119499},"reference-count":6,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2005,2]]},"abstract":"<jats:p> The existing audio retrieval systems fall into one of two categories: single-domain systems that can accept data of only a single type (e.g. speech) or multiple-domain systems that offer content-based retrieval for multiple types of audio data. Since a single-domain system has limited applications, a multiple-domain system will be more useful. However, different types of audio data will have different properties, this will make a multiple-domain system harder to be developed. If we can classify audio information in advance, the above problems can be solved. In this paper, we will propose a real-time classification method to classify audio signals into several basic audio types such as pure speech, music, song, speech with music background, and speech with environmental noise background. <\/jats:p><jats:p> In order to make the proposed method robust for a variety of audio sources, we use Bayesian decision function for multivariable Gaussian distribution instead of manually adjusting a threshold for each discriminator. The proposed approach can be applied to content-based audio\/video retrieval. In the experiment, the efficiency and effectiveness of this method are shown by an accuracy rate of more than 96% for general audio data classification. <\/jats:p>","DOI":"10.1142\/s0218001405003958","type":"journal-article","created":{"date-parts":[[2005,2,3]],"date-time":"2005-02-03T06:53:07Z","timestamp":1107413587000},"page":"63-78","source":"Crossref","is-referenced-by-count":5,"title":["A NEW APPROACH FOR CLASSIFICATION OF GENERIC AUDIO DATA"],"prefix":"10.1142","volume":"19","author":[{"given":"RUEI-SHIANG","family":"LIN","sequence":"first","affiliation":[{"name":"Department of Computer and Information Science, National Chiao Tung University, 1001 Ta Hsueh Rd., Hsinchu, Taiwan 30050, R.O.C."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"LING-HWEI","family":"CHEN","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Science, National Chiao Tung University, 1001 Ta Hsueh Rd., Hsinchu, Taiwan 30050, R.O.C."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf2","volume-title":"Pattern Recognition and Image Preprocessing","author":"Bow S.-T.","year":"1992"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1007\/s005300050106"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(00)00119-7"},{"key":"rf10","volume-title":"Joint Time-Frequency Analysis Methods and Applications","author":"Qian S.","year":"1996"},{"key":"rf14","doi-asserted-by":"publisher","DOI":"10.1109\/93.556537"},{"key":"rf17","doi-asserted-by":"publisher","DOI":"10.1109\/89.917689"}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001405003958","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T22:22:04Z","timestamp":1565130124000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001405003958"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,2]]},"references-count":6,"journal-issue":{"issue":"01","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2005,2]]}},"alternative-id":["10.1142\/S0218001405003958"],"URL":"https:\/\/doi.org\/10.1142\/s0218001405003958","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005,2]]}}}