Querying Freesound with a microphone

Gerard Roma; Xavier Serra

Querying Freesound with a microphone

Gerard Roma, Xavier Serra

Pompeu Fabra University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

On the web, searching for sounds is usually limited to text queries. This requires adding textual descriptions to each audio file, which is indexed effectively as a text document. Recent developments in browser technologies allow developers to access the audio input or microphone of the computer, enabling Query by Example (QbE) applications.
We present a demonstration system that allows users to make queries on Freesound.org by recording audio in the browser. A basic prototype is available online.

Original language	English
Title of host publication	Proceedings of the 1st Web Audio Conference (WAC 2015)
Number of pages	3
Publication status	Published - 2015
Externally published	Yes
Event	1st Web Audio Conference - Paris, France Duration: 26 Jan 2015 → 28 Jan 2015 Conference number: 1 https://wac.ircam.fr/ (Link to Conference Details)

Conference

Conference	1st Web Audio Conference
Abbreviated title	WAC 2015
Country/Territory	France
City	Paris
Period	26/01/15 → 28/01/15
Internet address	https://wac.ircam.fr/ (Link to Conference Details)

Access to Document

https://wac.ircam.fr/pdf/demo/wac15_submission_37.pdf

Environmental sound recognition using short-time feature aggregation
Roma, G., Herrera, P. & Nogueira, W., Dec 2018, In: Journal of Intelligent Information Systems. 51, 3, p. 457-475 19 p.
Research output: Contribution to journal › Article › peer-review
5 Link opens in a new tab Citations (Scopus)

Cite this

@inproceedings{14f933bff00d446885bfee3ac7363da5,

title = "Querying Freesound with a microphone",

abstract = "On the web, searching for sounds is usually limited to text queries. This requires adding textual descriptions to each audio file, which is indexed effectively as a text document. Recent developments in browser technologies allow developers to access the audio input or microphone of the computer, enabling Query by Example (QbE) applications. We present a demonstration system that allows users to make queries on Freesound.org by recording audio in the browser. A basic prototype is available online.",

keywords = "audio retrieval, query by example, web audio",

author = "Gerard Roma and Xavier Serra",

year = "2015",

language = "English",

booktitle = "Proceedings of the 1st Web Audio Conference (WAC 2015)",

note = "1st Web Audio Conference, WAC 2015 ; Conference date: 26-01-2015 Through 28-01-2015",

url = "https://wac.ircam.fr/",

}

TY - GEN

T1 - Querying Freesound with a microphone

AU - Roma, Gerard

AU - Serra, Xavier

N1 - Conference code: 1

PY - 2015

Y1 - 2015

N2 - On the web, searching for sounds is usually limited to text queries. This requires adding textual descriptions to each audio file, which is indexed effectively as a text document. Recent developments in browser technologies allow developers to access the audio input or microphone of the computer, enabling Query by Example (QbE) applications. We present a demonstration system that allows users to make queries on Freesound.org by recording audio in the browser. A basic prototype is available online.

AB - On the web, searching for sounds is usually limited to text queries. This requires adding textual descriptions to each audio file, which is indexed effectively as a text document. Recent developments in browser technologies allow developers to access the audio input or microphone of the computer, enabling Query by Example (QbE) applications. We present a demonstration system that allows users to make queries on Freesound.org by recording audio in the browser. A basic prototype is available online.

KW - audio retrieval

KW - query by example

KW - web audio

M3 - Conference contribution

BT - Proceedings of the 1st Web Audio Conference (WAC 2015)

T2 - 1st Web Audio Conference

Y2 - 26 January 2015 through 28 January 2015

ER -

Querying Freesound with a microphone

Abstract

Conference

Access to Document

Fingerprint

Research output

Environmental sound recognition using short-time feature aggregation

Cite this