Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Query by humming: musical information retrieval in an audio database
Proceedings of the third ACM international conference on Multimedia
Musical content-based retrieval: an overview of the Melodiscov approach and system
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
A practical query-by-humming system for a large music database
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Content-based retrieval of MP3 music objects
Proceedings of the tenth international conference on Information and knowledge management
A Tutorial on MPEG/Audio Compression
IEEE MultiMedia
Content-Based Classification, Search, and Retrieval of Audio
IEEE MultiMedia
A Melody-Based Similarity Computation Algorithm for Musical Information
KDEX '99 Proceedings of the 1999 Workshop on Knowledge and Data Engineering Exchange
Query by Rhythm: An Approach for Song Retrieval in Music Databases
RIDE '98 Proceedings of the Workshop on Research Issues in Database Engineering
Construction and Evaluation of a Robust Multifeature Speech/Music Discriminator
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
Efficient Theme and Non-Trivial Repeating Pattern Discovering in Music Databases
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Audio Retrieval Using Perceptually Based Structures
ICMCS '98 Proceedings of the IEEE International Conference on Multimedia Computing and Systems
Music Databases: Indexing Techniques and Implementation
IW-MMDBMS '96 Proceedings of the 1996 International Workshop on Multi-Media Database Management Systems (IW-MMDBMS '96)
Real-time discrimination of broadcast speech/music
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
Hierarchical classification of audio data for archiving and retrieving
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Using the Fisher kernel method for Web audio classification
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
Robust singing detection in speech/music discriminator design
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
An Approximate String Matching Algorithm for Content-Based Music Data Retrieval
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Discovering nontrivial repeating patterns in music data
IEEE Transactions on Multimedia
A review of speech-based bimodal recognition
IEEE Transactions on Multimedia
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Blind Clustering of Popular Music Recordings Based on Singer Voice Characteristics
Computer Music Journal
Towards efficient automated singer identification in large music databases
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
A novel framework for efficient automated singer identification in large music databases
ACM Transactions on Information Systems (TOIS)
Robust audio identification for MP3 popular music
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
A method for music structure analysis using MPEG-4 TwinVQ audio compression
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
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As there is a growing amount of MP3 music data available on the Internet today, the problems related to music classification and content-based music retrieval are getting more attention recently. In this paper, we propose an approach to automatically classify MP3 music objects according to their singers. First, the coefficients extracted from the output of the polyphase filters are used to compute the MP3 features for segmentation. Based on these features, an MP3 music object can be decomposed into a sequence of notes (or phonemes). Then for each MP3 phoneme in the training set, its MP3 feature is extracted and used to train an MP3 classifier which can identify the singer of an unknown MP3 music object. Experiments are performed and analyzed to show the effectiveness of the proposed method.