Recursive and Partially Supervised Algorithms for Speech Enhancement on the Basis of Independent Vector Extraction

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F18%3A00006137" target="_blank" >RIV/46747885:24220/18:00006137 - isvavai.cz</a>

Výsledek na webu

<a href="https://asap.ite.tul.cz/wp-content/uploads/sites/3/2018/09/iwaenc2018b.pdf" target="_blank" >https://asap.ite.tul.cz/wp-content/uploads/sites/3/2018/09/iwaenc2018b.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IWAENC.2018.8521399" target="_blank" >10.1109/IWAENC.2018.8521399</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Recursive and Partially Supervised Algorithms for Speech Enhancement on the Basis of Independent Vector Extraction

Popis výsledku v původním jazyce

This paper introduces a recursive variant of the recently pro-posed independent vector extraction algorithm suitable for on-line blind source separation. Two partially supervised variants are proposed and tested. Both variants exploit known direction of arrival (DOA) of the source of interest (SOI). The first variant uses a pre-separated output of a DOA-steered MPDR beamformer as a pilot component to ensure the extraction of the SOI. In the second variant, a geometrical constraint is imposed to ensure that the separating vector does not stray too far from the assumed direction of the SOI. Experiments using simulated and real-world recordings are demonstrated. Both supervised variants show improvements compared to the unsupervised algorithm in terms of convergence stability and separation accuracy.

Název v anglickém jazyce

Recursive and Partially Supervised Algorithms for Speech Enhancement on the Basis of Independent Vector Extraction

Popis výsledku anglicky

This paper introduces a recursive variant of the recently pro-posed independent vector extraction algorithm suitable for on-line blind source separation. Two partially supervised variants are proposed and tested. Both variants exploit known direction of arrival (DOA) of the source of interest (SOI). The first variant uses a pre-separated output of a DOA-steered MPDR beamformer as a pilot component to ensure the extraction of the SOI. In the second variant, a geometrical constraint is imposed to ensure that the separating vector does not stray too far from the assumed direction of the SOI. Experiments using simulated and real-world recordings are demonstrated. Both supervised variants show improvements compared to the unsupervised algorithm in terms of convergence stability and separation accuracy.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

The 16th International Workshop on Acoustic Signal Enhancement (IWAENC 2018)

ISBN

978-1-5386-8151-0

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

401-405

Název nakladatele

—

Místo vydání

—

Místo konání akce

Tokyo

Datum konání akce

1. 1. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—