A hidden Markov model based approach to music segmentation and identification

Classification of musical segments is an interesting problem. It is a key technology in the development of content-based audio document indexing and retrieval. In this paper, we apply the feature extraction and modeling techniques commonly used in automatic speech recognition to solving the problem...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Sheng Gao, Maddage, N.C., Chin-Hui Lee
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Automatic speech recognition Cepstral analysis Content based retrieval Feature extraction Hidden Markov models Indexing Instruments Music information retrieval Signal analysis Space technology
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