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  • Influence
Signal Processing Methods for Music Transcription
TLDR
This book serves as an ideal starting point for newcomers and an excellent reference source for people already working in the field. Expand
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Polyphonic music transcription using note event modeling
TLDR
This paper proposes a method for the automatic transcription of real-world music signals, including a variety of musical genres using probabilistic note event modeling. Expand
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Automatic music transcription: challenges and future directions
TLDR
Automatic music transcription is considered by many to be a key enabling technology in music signal processing. Expand
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Query by humming of midi and audio using locality sensitive hashing
TLDR
This paper proposes a query by humming method based on locality sensitive hashing (LSH). Expand
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Automatic Classification of Pitched Musical Instrument Sounds
TLDR
This chapter discusses the problem of automatically identifying the musical instrument played in a given sound excerpt. Expand
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Introduction to Music Transcription
Music transcription refers to the analysis of an acoustic musical signal so as to write down the pitch, onset time, duration, and source of each sound that occurs in it. In Western tradition, writtenExpand
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Recognition of Everyday Auditory Scenes: Potentials, Latencies and Cues
TLDR
A li stening test was conducted where the human abili ties in recognizing everyday auditory scenes based on binaural recordings were studied. Expand
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Improving instrument recognition in polyphonic music through system integration
TLDR
A method is proposed for instrument recognition in polyphonic music which combines two independent detector systems which combines the instrument contributions estimated by the first system onto the transcription system in the form of Dirichlet priors. Expand
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Auditory-Model Based Methods for Multiple Fundamental Frequency Estimation
TLDR
This chapter describes fundamental frequency (FO) estimation methods that make use of computational models of human auditory perception and especially pitch perception. Expand
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ANALYSISOF MUSICAL INSTRUMENT SOUNDSBY SOURCE-FILTER-DECAYMODEL
Thispaper proposes awayofmodelling thetime-varying spectral energy distribution ofmusical instrument sounds. Themodelconsists ofanexcitation signal, abodyresponse filter, andaloss filter whichExpand
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