Skip to Main content Skip to Navigation
Conference papers

Allocating, Detecting and Mining Sound Structures: An Overview of Technical Tools

Abstract : In this contribution, we relate the question of discernability of sound structures to the properties of the underlying analysis tools. In particular, we argue, that classical tools that are mainly used in sound processing and lead to features as prominent as the MFCC may be replaced by more accurate methods that are based on rather recent mathematical signal processing tools. In particular, we focus on adaptive representations that lend themselves to efficient computation and, on the other hand, on sparsity-promoting methods which are able to adapt to the structures present in a particular signal class.
Document type :
Conference papers
Complete list of metadatas

Cited literature [15 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01523055
Contributor : Hal Ifip <>
Submitted on : Tuesday, May 16, 2017 - 9:16:53 AM
Last modification on : Thursday, March 5, 2020 - 5:41:43 PM
Long-term archiving on: : Friday, August 18, 2017 - 12:48:28 AM

File

978-3-642-33412-2_48_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Monika Dörfler. Allocating, Detecting and Mining Sound Structures: An Overview of Technical Tools. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. pp.470-479, ⟨10.1007/978-3-642-33412-2_48⟩. ⟨hal-01523055⟩

Share

Metrics

Record views

344

Files downloads

208