Results 31 to 40 of about 383,886 (331)

Identification of Non-Linguistic Speech Features [PDF]

open access: yes, 1993
Over the last decade technological advances have been made which enable us to envision real-world applications of speech technologies. It is possible to foresee applications where the spoken query is to be recognized without even prior knowledge of the ...
Jean-luc Gauvain, Lori F. Lamel
core   +3 more sources

Speaker identification by lipreading [PDF]

open access: yes4th International Conference on Spoken Language Processing (ICSLP 1996), 1996
This paper describes a new approach for speaker identification based on lipreading. Visual features are extracted from image sequences of the talking face and consist of shape parameters which describe the lip boundary and intensity parameters which describe the grey-level distribution of the mouth area.
J. Luettin, N.A. Thacker, S.W. Beet
openaire   +1 more source

Speech Processing in Computer Vision Applications [PDF]

open access: yes, 2020
Deep learning has been recently proven to be a viable asset in determining features in the field of Speech Analysis. Deep learning methods like Convolutional Neural Networks facilitate the expansion of specific feature information in waveforms, allowing ...
Waterworth, Nicholas
core   +2 more sources

FEATURES OF THE IMPLEMENTATION OF THE SPEAKER IDENTIFICATION SOFTWARE SYSTEM

open access: yesКомпютерні 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 Hybrid Parameterization Technique for Speaker Identification [PDF]

open access: yes, 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 ...
Fernández-Baillo Gallego de la Sacristana, Roberto   +7 more
core   +2 more sources

The separability analysis of pitch parameters in speaker recognition

open access: yesMATEC Web of Conferences, 2016
Aseparability research of prosodic parameters in speaker recognition is studied.The space distribution of the prosodic parameters is drawn using the mean and variance of the speaker pitch parameters,through which the separability of the speaker is ...
He Rong Rong, Tian Lan, Ma Fa Jiang
doaj   +1 more source

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

open access: yesMokslas: 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

A Novel RBFNN-CNN Model for Speaker Identification in Stressful Talking Environments

open access: yesApplied Sciences, 2022
Speaker identification systems perform almost ideally in neutral talking environments. However, these systems perform poorly in stressful talking environments.
Ali Bou Nassif   +6 more
doaj   +1 more source

Emotional Empathy as a Mechanism of Synchronisation in Child-Robot Interaction [PDF]

open access: yes, 2018
Simulating emotional experience, emotional empathy is the fundamental ingredient of interpersonal communication. In the speaker-listener scenario, the speaker is always a child, the listener is a human or a toy robot.
Giannopulu, I   +2 more
core   +2 more sources

Pitch Correlogram Clustering for Fast Speaker Identification

open access: yesEURASIP Journal on Advances in Signal Processing, 2004
Gaussian mixture models (GMMs) are commonly used in text-independent speaker identification systems. However, for large speaker databases, their high computational run-time limits their use in online or real-time speaker identification situations.
Nitin Jhanwar, Ajay K. Raina
doaj   +1 more source

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