Improved Automatic Chord Recognition
نویسندگان
چکیده
This paper describes a chord recognition system submitted to the MIREX 2009 Audio Chord detection contest. Extracting harmonic information from audio signals has become a topic of keen interest for many researches in Music Information Retrieval (MIR) community. The FBK submission consists of two chord detection system: baseline and the system with language modeling functionality. The two submissions are bases on hidden Markov models (HMM) as a statistical classifier. Pitch class profile (PCP) vectors that represent harmonic information are extracted from the given audio signal and act as a feature set. After Viterbi decoding and subsequent lattice rescoring the output labels are produced.
منابع مشابه
Automatic Chord Recognition
Automatic chord recognition is the first step towards complex analyses of music. It has became an active research topic and is of importance for both scientific research and commercial applications. Many methods have been proposed to attack this problem, most of which are based on the Pitch Class Profile. I propose a novel automatic chord recognition method that improves the traditional methods...
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