Automatic music transcription is considered by many to be a key enabling technology in
music signal processing. However, the performance of transcription systems is still …

Music signal processing may appear to be the junior relation of the large and mature field of
speech signal processing, not least because many techniques and representations …

An audio indexing system aims at describing audio content by identifying, labeling, or
categorizing different acoustic events. Since the resulting audio classification and indexing …

A large variety of techniques exist to display the time and frequency content of a given
signal. In this article, we give an overview of linear time-frequency representations, focusing …

When designing an audio processing system, the target tasks often influence the choice of a
data representation or transformation. Low-level time-frequency representations such as the …

This paper proposes a novel approach to musical instrument recognition in polyphonic
audio signals by using a source-filter model and an augmented non-negative matrix …

This paper presents a frame-based system for estimating multiple fundamental frequencies
(F0s) of polyphonic music signals based on the short-time Fourier transform (STFT) …

This paper presents a general probabilistic model for transcribing single-channel music
recordings containing multiple polyphonic instrument sources. The system requires no prior …

Real-world sounds often exhibit time-varying spectral shapes, as observed in the
spectrogram of a harpsichord tone or that of a transition between two pronounced vowels …

We present a computational model of musical instrument sounds that focuses on capturing
the dynamic behavior of the spectral envelope. A set of spectro-temporal envelopes …