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An Efficient Music Identification System Based on PostgreSQL User-Defined Functions

Pham, Cam Ngoc; Nguyen, Hai Chau

Pham, C. N., Nguyen, H. C. (2011). An Efficient Music Identification System Based on PostgreSQL User-Defined Functions. VNU Journal of Science, Mathematics – Physics Vol. 27, No. 3, 181-188; 2588-1124; http://repository.vnu.edu.vn/handle/VNU_123/56441

Truy cập trực tuyến

  • Nhan đề:
    An Efficient Music Identification System Based on PostgreSQL User-Defined Functions
  • Tác giả: Pham, Cam Ngoc; Nguyen, Hai Chau
  • Chủ đề: Audio snippet; music identification; user-defined functions
  • Mô tả: In this paper, we present a novel approach for music identification task aimed at proving the ability to identify a song by recorded song snippets. By combining Y. Ke’s feature extracting method [1, 2] with PostgreSQL user-defined functions [3, 4, 5]], our system proves as an effective search strategy for the field. We construct training data sets in a noisy environment and compare the search speed and the search accuracy of the system with Y. Ke’s system. Experiment results show that our system is more powerful with the accurate retrieval ability of 98% on a database of 600 songs and the search speed is 3.6 times faster than Y. Ke’s system.
  • Nhan đề liên quan: VNU Journal of Science, Mathematics – Physics
  • Nơi xuất bản: H. : ĐHQGHN
  • Năm xuất bản: 2011
  • Định dạng: application/pdf
  • Ngôn ngữ: English
  • Số nhận dạng: Pham, C. N., Nguyen, H. C. (2011). An Efficient Music Identification System Based on PostgreSQL User-Defined Functions. VNU Journal of Science, Mathematics – Physics Vol. 27, No. 3, 181-188; 2588-1124; http://repository.vnu.edu.vn/handle/VNU_123/56441

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