A novel methodology for Internet audio search.
Published: 2006
Language: eng
Number of pages: 73
ISBN-13: 9780494211151
Description: This thesis proposes a novel cyclic interface for searching through a song database. The method, which merges multiple audio streams on a server and broadcasts only a single merged stream, allows the user to hear different parts of each audio stream by cycling through all available streams. Songs are merged into a single stream based on a combination of spectral entropy and local power of each song's waveform. Perceptual parameters of the system are determined based on experiments conducted on 20 users, for three, four and five search results. Results illustrate that the proposed methodology requires less listening time as compared to traditional list-based interfaces when the desired audio clip is among one of the audio streams. Applications of this methodology include any search system which returns multiple audio search results, including music query by example. The proposed methodology can be used for real-time searching with an ordinary internet browser.
Notes: Source: Masters Abstracts International, Volume: 45-03, page: 1586.

Advisor: Parham Aarab

Thesis (M.A.Sc.)--University of Toronto, 2006.

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