Deep clustering-based beamforming for separation with unknown number of sources

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F17%3APU126472" target="_blank" >RIV/00216305:26230/17:PU126472 - isvavai.cz</a>

Result on the web

<a href="http://www.isca-speech.org/archive/Interspeech_2017/pdfs/0721.PDF" target="_blank" >http://www.isca-speech.org/archive/Interspeech_2017/pdfs/0721.PDF</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.21437/Interspeech.2017-721" target="_blank" >10.21437/Interspeech.2017-721</a>

Result language

angličtina

Original language name

Deep clustering-based beamforming for separation with unknown number of sources

Original language description

This article is about the deep clustering-based beamforming for separation with unknown number of sources.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of Interspeech 2017

ISBN

—

ISSN

1990-9772

e-ISSN

—

Number of pages

5

Pages from-to

1183-1187

Publisher name

International Speech Communication Association

Place of publication

Stockholm

Event location

Stockholm

Event date

Aug 20, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000457505000247