Signal Processing Methods for Music Transcription
Signal Processing Methods for Music Transcription
Sound onset detection by applying psychoacoustic knowledge
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Multipitch estimation and sound separation by the spectral smoothness principle
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 05
A discriminative model for polyphonic piano transcription
EURASIP Journal on Applied Signal Processing
Harmonic decomposition of audio signals with matching pursuit
IEEE Transactions on Signal Processing
Matching pursuits with time-frequency dictionaries
IEEE Transactions on Signal Processing
A Multipitch Analyzer Based on Harmonic Temporal Structured Clustering
IEEE Transactions on Audio, Speech, and Language Processing
Sparse and structured decompositions of signals with the molecular matching pursuit
IEEE Transactions on Audio, Speech, and Language Processing
Enhancing the Tracking of Partials for the Sinusoidal Modeling of Polyphonic Sounds
IEEE Transactions on Audio, Speech, and Language Processing
Automatic Piano Transcription Using Frequency and Time-Domain Information
IEEE Transactions on Audio, Speech, and Language Processing
Music scene-adaptive harmonic dictionary for unsupervised note-event detection
IEEE Transactions on Audio, Speech, and Language Processing
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Harmonic matching pursuit (HMP) is an interesting signal processing tool for note-event detection in polyphonic music transcription. HMP decomposes an audio signal into harmonic atoms. Audio signals are well represented by harmonic atoms due to their strong harmonic content. However, HMP provides an inaccurate decomposition when musical notes with rational fundamental frequency relation are simultaneously played (the overlapping partial problem). In this paper, a signal processing algorithm dealing with this problem is proposed. The algorithm is based on maximizing a smoothness-based criterion of the spectral envelope for each harmonic atom resulting from the HMP decomposition. In this way, we obtain an improved harmonic decomposition, which achieves high accuracy rates in note-event detection when dealing with harmonically related simultaneous notes.