Signal processing methods for music transcription
Signal Processing Methods for Music Transcription is the first book dedicated to uniting
research related to signal processing algorithms and models for various aspects of music …
research related to signal processing algorithms and models for various aspects of music …
Music information retrieval: Recent developments and applications
We provide a survey of the field of Music Information Retrieval (MIR), in particular paying
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …
Hts-at: A hierarchical token-semantic audio transformer for sound classification and detection
Audio classification is an important task of map** audio samples into their corresponding
labels. Recently, the transformer model with self-attention mechanisms has been adopted in …
labels. Recently, the transformer model with self-attention mechanisms has been adopted in …
Automatic music classification with jMIR
C McKay - 2010 - escholarship.mcgill.ca
La classification automatique de la musique est un vaste domaine de recherche,
multidisciplinaire par nature, et qui donne lieu à des avancées significatives tant du point de …
multidisciplinaire par nature, et qui donne lieu à des avancées significatives tant du point de …
Recognition of acoustic events using deep neural networks
This paper proposes the use of a deep neural network for the recognition of isolated
acoustic events such as footsteps, baby crying, motorcycle, rain etc. For an acoustic event …
acoustic events such as footsteps, baby crying, motorcycle, rain etc. For an acoustic event …
Musical instrument identification in continuous recordings
A Livshin, X Rodet - Digital Audio Effects 2004, 2004 - hal.science
Résumé Recognition of musical instruments in multi-instrumental, polyphonic music is a
difficult challenge which is yet far from being solved. Successful instrument recognition …
difficult challenge which is yet far from being solved. Successful instrument recognition …
[PDF][PDF] A Comparison of Sound Segregation Techniques for Predominant Instrument Recognition in Musical Audio Signals.
The authors address the identification of predominant music instruments in polytimbral audio
by previously dividing the original signal into several streams. Several strategies are …
by previously dividing the original signal into several streams. Several strategies are …
Music in our ears: the biological bases of musical timbre perception
Timbre is the attribute of sound that allows humans and other animals to distinguish among
different sound sources. Studies based on psychophysical judgments of musical timbre …
different sound sources. Studies based on psychophysical judgments of musical timbre …
[PDF][PDF] Unsupervised learning of sparse features for scalable audio classification.
In this work we present a system to automatically learn features from audio in an
unsupervised manner. Our method first learns an overcomplete dictionary which can be …
unsupervised manner. Our method first learns an overcomplete dictionary which can be …
[PDF][PDF] Investigación artística en música
La investigación produce conocimiento. Pero¿ qué clase de conocimiento persigue la
investigación artística?¿ No es el arte en sí mismo el producto de una investigación?¿ Tiene …
investigación artística?¿ No es el arte en sí mismo el producto de una investigación?¿ Tiene …