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In this paper, five different methods in music recognition are discussed, a new character MPCP is proposed in Chord Recognition. The new character overcome the limitation of the traditional PCP and MFCC, apply for recognition system by combining both characteristics. For features we use MPCP vectors, it is trained by HMM, estimated parameters by Baum-Welch algorithm, finally we acquired accurate chords...
We present a system for automatic real time alignment of an acoustic music performance with a digital representation of its score, a problem which is usually defined score following. The alignment is based on an application of hidden Markov models. A model is automatically built from a music score, while decoding is used to compute the most probable location of the performance along the score model...
There has been much recent progress in the technical infrastructure necessary to continuously characterize and archive all sounds, or more precisely auditory streams, that occur within a given space or human life. Efficient and intuitive access, however, remains a considerable challenge. In specifically musical domains, i.e., melody retrieval, query-by-example (QBE) has found considerable success...
This paper proposes a novel framework to index and retrieve audio content from broadcast database that contains both speech and music. In this framework, we model the acoustic events using hidden Markov models, which are then used to decode the audio content. The decoding results in the form of acoustic token sequence and acoustic lattice are used to generate features for indexing and retrieval with...
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