Results 21 to 30 of about 54,457 (305)

SPEAKER IDENTIFICATION FOR ISOLATED GUJARATI DIGITS USING MFCC AND VQ [PDF]

ICTACT Journal on Soft Computing, 2019
The research presented in this paper is part of an ongoing investigation of speaker identification for Gujarati isolated digit. In our previous work, we evaluated feature extraction method of Gujarati isolated digit for speaker identification using Mel ...
Pooja Prajapati, Miral Patel
doaj   +1 more source

Arabic Speaker Identification System Using Multi Features [PDF]

Engineering and Technology Journal, 2020
The performance regarding the Speaker Identification Systems (SIS) has enhanced because of the current developments in speech processing methods, however, an improvement is still required with regard to text-independent speaker identification in the ...
Rawia Mohammed, Nidaa Hassan, Akbas Ali
doaj   +1 more source

Speaker recognition based on auditory impression: The role of familiarity with the speaker and language [PDF]

NBP: Nauka, bezbednost, policija
Speech is a fundamental means of interpersonal communication. Speaker identification based on voice and speech can be analysed through two perspectives, expert listening by trained phoneticians, for the purpose of forensic speaker identification, and by ...
Šešum Mia, Drljan Bojana, Ivanović Maja, Arsenić Ivana   +3 more
doaj   +1 more source

Speaker Identification for Business-Card-Type Sensors

IEEE Open Journal of the Computer Society, 2021
Human collaboration has a great impact on the performance of multi-person activities. The analysis of speaker information and speech timing can be used to extract human collaboration data in detail. Some studies have extracted human collaboration data by
Shunpei Yamaguchi, Ritsuko Oshima, Jun Oshima, Ryota Shiina, Takuya Fujihashi, Shunsuke Saruwatari, Takashi Watanabe   +6 more
doaj   +1 more source

Speaker Identification

Signal & Image Processing : An International Journal, 2011
Speaker recognition is the computing task of validating a user's claimed identity using characteristics extracted from their voices. Voice -recognition is combination of the two where it uses learned aspects of a speaker’s voice to determine what is being said - such a system cannot recognize speech from random speakers very accurately, but it can ...
Arundhati S. Mehendale, M. R. Dixit
openaire   +1 more source

Speaker identification

Informatica, 1993
Summary: Speaker identification problem is investigated. The identification is carried out comparing feature vectors (parameters of LPC model) of the ``criminal'' and ``suspicious'' speakers. Both likelihood ratio and cepstral distances are used for comparing feature vectors.
Lipeika, Antanas, Lipeikienė, Joana
openaire   +2 more sources

A Hybrid Parameterization Technique for Speaker Identification

, 2008
Classical parameterization techniques for Speaker Identification use the codification of the power spectral density of raw speech, not discriminating between articulatory features produced by vocal tract dynamics (acoustic-phonetics) from glottal source ...
Rodellar Biarge, M. Victoria, Fernández-Baillo Gallego de la Sacristana, Roberto, Mazaira-Fernández, Luis, Álvarez-Marquina, Agustín, Rodellar-Biarge, Victoria, Martínez-Olalla, Rafael, Álvarez Marquina, Agustin, Martínez Olalla, Rafael, Muñoz-Mulas, Cristina, Gómez Vilda, Pedro, Mazaira Fernández, Luis Miguel, Nieto-Lluís, Víctor, Nieto Lluis, Victor, Muñoz, Cristina, Gómez-Vilda, Pedro, Fernández-Baíllo, Roberto   +15 more
core   +1 more source

FEATURES OF THE IMPLEMENTATION OF THE SPEAKER IDENTIFICATION SOFTWARE SYSTEM

Компютерні системи та інформаційні технології, 2022
The proposed architecture of the identification software system in the form of class and sequence diagrams. The main criteria for assessing the accuracy of speaker identification were studied and possible sources of loss of speaker identification ...
YANA BIELOZOROVA, KATERYNA YATSKO
doaj   +1 more source

A New Nonlinear speaker parameterization algorithm for speaker identification

CoRR, 2004
In this paper we propose a new parameterization algorithm based on nonlinear prediction, which is an extension of the classical LPC parameters. The parameters performances are estimated by two different methods: the Arithmetic-Harmonic Sphericity (AHS) and the Auto-Regressive Vector Model (ARVM).
Chetouani, Mohamed, Faundez-Zanuy, Marcos, Gas, Bruno, Zarader, Jean-Luc   +3 more
openaire   +4 more sources

Diktoriaus identifikavimo tikslumo tyrimas naudojant neuroninius tinklus / Accuracy research using neural networks for speaker idenfitification

Mokslas: Lietuvos Ateitis, 2018
In this paper we present results on speaker identification task by using neural networks for acoustic modelling. Article is structured by describing speaker identification workflow, later identifying specific steps needed for speaker identification ...
Laurynas Dovydaitis, Vytautas Rudžionis
doaj   +1 more source