Audio Data Classification by Means of New Algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU104564" target="_blank" >RIV/00216305:26220/13:PU104564 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Audio Data Classification by Means of New Algorithms
Original language description
This paper describes classification of sound recordings based on their audio features. This is useful for querying large datasets, searching for recordings with some desired content. We use musical recordings as well as birdsongs recordings, which usually have rich structure and contain a lot of patterns suitable for classification. We present two different classification methods, one for musical recordings and one for birdsongs. These methods are compared and their differences are discussed. In case ofmusical recordings we use feature vectors describing the recording as a whole piece and we classify these feature vectors with the Self-organizing map and Learning Vector Quantization combination which represent a powerful algorithm using unlabeled as well as labeled data. In case of birdsongs we use feature vectors representing time frames of a recording.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/ED2.1.00%2F03.0072" target="_blank" >ED2.1.00/03.0072: Centre of sensor, information and communication systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 36 th International Conference on Telecommunikations and Signal Processing (TSP 2013)
ISBN
978-1-4799-0402-0
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
507-511
Publisher name
TSP
Place of publication
Rome, Italy
Event location
Rome
Event date
Jul 2, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—