Blind Extraction of Target Speech Source: Three ways of Guidance Exploiting Supervised Speaker Embeddings

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F22%3A00009854" target="_blank" >RIV/46747885:24220/22:00009854 - isvavai.cz</a>

Result on the web

<a href="https://asap.ite.tul.cz/wp-content/uploads/sites/3/2022/08/paper_16.pdf" target="_blank" >https://asap.ite.tul.cz/wp-content/uploads/sites/3/2022/08/paper_16.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IWAENC53105.2022.9914778" target="_blank" >10.1109/IWAENC53105.2022.9914778</a>

Result language

angličtina

Original language name

Blind Extraction of Target Speech Source: Three ways of Guidance Exploiting Supervised Speaker Embeddings

Original language description

The manuscript deals with the robust extraction of a speaker of interest (SOI) from a mixture of audio sources. A blind algorithm based on independent vector extraction (IVE) is used, which, by definition, extracts an arbitrary source. To focus the extraction towards the SOI, a prior knowledge identifying the target source is required. To this end, the manuscript exploits speaker-identification based on embedding features computed via a pretrained forward sequential memory network (FSMN). We introduce and experimentally validate three ways how this prior knowledge can be employed in a blind algorithm, namely, speaker-specific initialization, pilot signal, and supervised deflation of the mixture. The experiments show that the proposed techniques complement each other and lead to robust identification/extraction of the SOI in difficult mixtures of three speakers.

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

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2022

Confidentiality

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

Article name in the collection

International Workshop on Acoustic Signal Enhancement

ISBN

978-166546867-1

ISSN

—

e-ISSN

—

Number of pages

5

Pages from-to

—

Publisher name

IEEE

Place of publication

—

Event location

Bamberg

Event date

Jan 1, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000934046400073