Evaluation of speaker de-identification based on voice gender and age conversion

Kód výsledku v IS VaVaI

RIV/49777513:23520/18:43951670 - isvavai.cz

Výsledek na webu

http://iris.elf.stuba.sk/JEEEC/data/pdf/2_118-05.pdf

DOI - Digital Object Identifier

10.2478/jee-2018-0017

Jazyk výsledku

angličtina

Název v původním jazyce

Evaluation of speaker de-identification based on voice gender and age conversion

Popis výsledku v původním jazyce

Two basic tasks are covered in this paper. The first one consists in the design and practical testing of a new method for voice de-identification that changes the apparent age and/or gender of a speaker by multi-segmental frequency scale transformation combined with prosody modification. The second task is aimed at verification of applicability of a classifier based on Gaussian mixture models (GMM) to detect the original Czech and Slovak speakers after applied voice de-identification. The performed experiments confirm functionality of the developed gender and age conversion for all selected types of de-identification which can be objectively evaluated by the GMM-based open-set classifier. The original speaker detection accuracy was compared also for sentences uttered by German and English speakers showing language independence of the proposed method.

Název v anglickém jazyce

Evaluation of speaker de-identification based on voice gender and age conversion

Popis výsledku anglicky

Two basic tasks are covered in this paper. The first one consists in the design and practical testing of a new method for voice de-identification that changes the apparent age and/or gender of a speaker by multi-segmental frequency scale transformation combined with prosody modification. The second task is aimed at verification of applicability of a classifier based on Gaussian mixture models (GMM) to detect the original Czech and Slovak speakers after applied voice de-identification. The performed experiments confirm functionality of the developed gender and age conversion for all selected types of de-identification which can be objectively evaluated by the GMM-based open-set classifier. The original speaker detection accuracy was compared also for sentences uttered by German and English speakers showing language independence of the proposed method.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

GA16-04420S: Kombinované využití fonetických a korpusově založených postupů při odstraňování rušivých jevů v řečové syntéze

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

Journal of ELECTRICAL ENGINEERING

ISSN

1335-3632

e-ISSN

—

Svazek periodika

69

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

SK - Slovenská republika

Počet stran výsledku

10

Strana od-do

138-147

Kód UT WoS článku

000440648400005

EID výsledku v databázi Scopus

2-s2.0-85048633039