Acoustic chord transcription and key extraction from audio using key-dependent HMMs trained on synthesized audio

IEEE Transactions on Audio, Speech and Language Processing

Volumn 16, Issue 2, 2008, Pages 291-301

  Lee, Kyogu ^a,b   Slaney, Malcolm ^a,c  

^a STANFORD UNIVERSITY   (United States)

^b Gracenote Inc   (United States)

^c YAHOO RESEARCH   (United States)

Author keywords

Acoustic chord transcription; Hidden Markov model (HMM); Key extraction; Key dependent models; Symbolic music files

Indexed keywords

ACOUSTIC FEATURE VECTORS; AUTOMATICALLY GENERATED; CHORD SEQUENCES; CHROMA FEATURES; GROUND TRUTHS; HARMONY ANALYSIS; HIDDEN MARKOV MODEL (HMM); HUMAN ANNOTATIONS; HUMAN LABORS; KEY EXTRACTION; KEY MODELS; KEY-DEPENDENT MODELS; LABELED TRAINING DATUM; MACHINE-LEARNING; OBSERVATION VECTORS; OPTIMAL STATE; RECOGNITION ACCURACIES; SYMBOLIC DATUM; SYMBOLIC MUSIC FILES; VITERBI DECODERS;

AUDIO ACOUSTICS; DECODING; FEATURE EXTRACTION; LEARNING SYSTEMS; MAXIMUM LIKELIHOOD ESTIMATION; OBJECT RECOGNITION; SPEECH RECOGNITION; TRANSCRIPTION; VITERBI ALGORITHM; WAVELET TRANSFORMS;

HIDDEN MARKOV MODELS;

EID: 47749132959     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2007.914399     Document Type: Article

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