On the extraction of vocal-related information to facilitate the management of popular music collections

Authors:
Wei-Ho Tsai;Hsin-Min Wang
Affiliations:
Academia Sinica, Taipei, Taiwan, Republic of China;Academia Sinica, Taipei, Taiwan, Republic of China
Venue:
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Year:
2005

Citing 8
Cited 3

Automatic text processing

Automatic text processing
Towards the digital music library: tune retrieval from acoustic input

Proceedings of the first ACM international conference on Digital libraries
Towards a digital library of popular music

Proceedings of the fourth ACM conference on Digital libraries
MP3: The Definitive Guide

MP3: The Definitive Guide
A singer identification technique for content-based classification of MP3 music objects

Proceedings of the eleventh international conference on Information and knowledge management
An ethnographic study of music information seeking: implications for the design of a music digital library

Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
A comparative study on content-based music genre classification

Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Blind Clustering of Popular Music Recordings Based on Singer Voice Characteristics

Computer Music Journal

Automatic categorization of figures in scientific documents

Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Visual expression for organizing and accessing music collections in MusicWiz

ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
Tree-based overlay networks for scalable applications

IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

With the explosive growth of networked collections of musical material, there is a need to establish a mechanism like a digital library to manage music data. This paper presents a content-based processing paradigm of popular song collections to facilitate the realization of a music digital library. The paradigm is built on the automatic extraction of information of interest from music audio signals. Because the vocal part is often the heart of a popular song, we focus on developing techniques to exploit the solo vocal signals underlying an accompanied performance. This supports the necessary functions of a music digital library, namely, music data organization, music information retrieval/recommendation, and copyright protection.