Use of transforms for indexing in audio databases

The phenomenal increases in the amounts of audio data being generated, processed and used in several computer applications have necessitated the development of audio database systems with newer features, such as content-based queries and similarity searches, to manage and use such data. Fast and accurate retrieval for content-based queries is crucial in order for such systems to be useful. Efficient content-based indexing and similarity searching schemes are keys to providing fast and relevant data retrieval. This paper studies and evaluates the different parameters involved in an indexing scheme which uses transforms (as used in signal processing) for generating the audio data indexes which are to be used in searching and retrieval. A comparison of the performance of the indexing scheme with different parameters is presented.