Publication result detail

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

HIGUCHI, T.; KINOSHITA, K.; DELCROIX, M.; ŽMOLÍKOVÁ, K.; NAKATANI, T.

Original Title

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

English Title

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

Type

Paper in proceedings (conference paper)

Original Abstract

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

English abstract

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

Keywords

source separation, source counting, timefrequencymasking, beamforming

Key words in English

source separation, source counting, timefrequencymasking, beamforming

Authors

HIGUCHI, T.; KINOSHITA, K.; DELCROIX, M.; ŽMOLÍKOVÁ, K.; NAKATANI, T.

RIV year

2018

Released

02.08.2017

Publisher

International Speech Communication Association

Location

Stockholm

Book

Proceedings of Interspeech 2017

ISBN

1990-9772

Periodical

Proceedings of Interspeech

Volume

2017

Number

08

State

French Republic

Pages from

1183

Pages to

1187

Pages count

5

URL

http://www.isca-speech.org/archive/Interspeech_2017/pdfs/0721.PDF

BibTex

@inproceedings{BUT144495,
  author="Takuya {Higuchi} and Keisuke {Kinoshita} and Marc {Delcroix} and Kateřina {Žmolíková} and Tomohiro {Nakatani}",
  title="Deep clustering-based beamforming for separation with unknown number of sources",
  booktitle="Proceedings of Interspeech 2017",
  year="2017",
  journal="Proceedings of Interspeech",
  volume="2017",
  number="08",
  pages="1183--1187",
  publisher="International Speech Communication Association",
  address="Stockholm",
  doi="10.21437/Interspeech.2017-721",
  issn="1990-9772",
  url="http://www.isca-speech.org/archive/Interspeech_2017/pdfs/0721.PDF"
}