Earticle

초록

영어

Although using the singer's name to search for songs is the common function of music retrieval systems, people often only remember famous singers. For new singers, people often only remember that the singer’s voice is similar to a famous singer, but cannot recall his/her name. Among current studies, there is little discussion on the music search method by voice. Therefore, this study proposed a method of music search by similar vocal sound. Users can enter the name of a singer, and then the system can find the names of other singers with similar features in vocal sound. In the proposed method, the sound signal is processed by Discrete Fourier Transform, and the statistical value of frequency spectrum and formant is calculated as the characteristic value of the singer's vocal sound. Then, the similarity of the singer's vocal sound is calculated by the weighted squared Euclidean distance function to obtain similar singers' names, so as to search for music by using similar vocal sound. The experiment verified that the feature extraction method can realize the vocal sound-based search effectively.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Method for Searching for Singers with Similar Vocal Sound
  3.1 Vocal sound capture from refrain
  3.2 Vocal sound feature extraction
  3.3 Similarity of singer's vocal sound
 4. Experiments and Evaluation
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Ning-Han Liu [ Department of Management Information Systems National Pingtung University of Science & Technology Taiwan, R.O.C. ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605