Voice query transcription and expansion scheme for efficient music retrieval

Seungmin Rho; Byeong Jun Han; Eenjun Hwang; Minkoo Kim

doi:10.1109/WIAMIS.2007.91

Voice query transcription and expansion scheme for efficient music retrieval

Seungmin Rho, Byeong Jun Han, Eenjun Hwang, Minkoo Kim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

In this paper, we present a scheme for efficient humming-based music retrieval. For that purpose, we first describe how to extract a sequence of pitch and duration pairs as its feature information from sung or hummed query accurately and automatically. And then, we propose a novel scheme for reformulating user query to improve retrieval performance. The scheme is based on user relevance feedback with genetic algorithm. We implemented a prototype system based on these scheme and performed various experiments. Experimental result shows that our proposed scheme achieves an impressive performance.

Original language	English
Title of host publication	8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007
Publisher	IEEE Computer Society
Pages	31
Number of pages	1
ISBN (Print)	076952818X, 9780769528182
DOIs	https://doi.org/10.1109/WIAMIS.2007.91
Publication status	Published - 2007
Event	8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007 - Santorini, Greece Duration: 2007 Jun 6 → 2007 Jun 8

Publication series

Name	8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007

Other

Other	8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007
Country/Territory	Greece
City	Santorini
Period	07/6/6 → 07/6/8

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Computer Networks and Communications
Signal Processing

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10.1109/WIAMIS.2007.91

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Rho, S., Han, B. J., Hwang, E., & Kim, M. (2007). Voice query transcription and expansion scheme for efficient music retrieval. In 8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007 (pp. 31). Article 4279139 (8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007). IEEE Computer Society. https://doi.org/10.1109/WIAMIS.2007.91

Voice query transcription and expansion scheme for efficient music retrieval. / Rho, Seungmin; Han, Byeong Jun; Hwang, Eenjun et al.
8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007. IEEE Computer Society, 2007. p. 31 4279139 (8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Rho, S, Han, BJ, Hwang, E & Kim, M 2007, Voice query transcription and expansion scheme for efficient music retrieval. in 8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007., 4279139, 8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007, IEEE Computer Society, pp. 31, 8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007, Santorini, Greece, 07/6/6. https://doi.org/10.1109/WIAMIS.2007.91

Rho S, Han BJ, Hwang E, Kim M. Voice query transcription and expansion scheme for efficient music retrieval. In 8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007. IEEE Computer Society. 2007. p. 31. 4279139. (8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007). doi: 10.1109/WIAMIS.2007.91

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AB - In this paper, we present a scheme for efficient humming-based music retrieval. For that purpose, we first describe how to extract a sequence of pitch and duration pairs as its feature information from sung or hummed query accurately and automatically. And then, we propose a novel scheme for reformulating user query to improve retrieval performance. The scheme is based on user relevance feedback with genetic algorithm. We implemented a prototype system based on these scheme and performed various experiments. Experimental result shows that our proposed scheme achieves an impressive performance.

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Voice query transcription and expansion scheme for efficient music retrieval

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