Results 1 to 10 of about 48,637 (264)

Enhancing speaker identification through reverberation modeling and cancelable techniques using ANNs. [PDF]

open access: yesPLoS ONE
This paper introduces a method aiming at enhancing the efficacy of speaker identification systems within challenging acoustic environments characterized by noise and reverberation. The methodology encompasses the utilization of diverse feature extraction
Emad S Hassan   +6 more
doaj   +2 more sources

Text-Independent Speaker Identification Through Feature Fusion and Deep Neural Network

open access: yesIEEE Access, 2020
Speaker identification refers to the process of recognizing human voice using artificial intelligence techniques. Speaker identification technologies are widely applied in voice authentication, security and surveillance, electronic voice eavesdropping ...
Rashid Jahangir   +7 more
doaj   +3 more sources

A Robust Speaker Identification System Using the Responses from a Model of the Auditory Periphery. [PDF]

open access: yesPLoS ONE, 2016
Speaker identification under noisy conditions is one of the challenging topics in the field of speech processing applications. Motivated by the fact that the neural responses are robust against noise, this paper proposes a new speaker identification ...
Md Atiqul Islam   +3 more
doaj   +2 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.
Juergen Luettin   +2 more
openaire   +2 more sources

Speaker Verification Based on Single Channel Speech Separation

open access: yesIEEE Access, 2023
In multi-speaker scenarios, speech processing tasks like speaker identification and speech recognition are susceptible to noise and overlapped voices.
Rong Jin, Mijit Ablimit, Askar Hamdulla
doaj   +1 more source

A Robust Approach for Speaker Identification Using Dialect Information

open access: yesApplied Computational Intelligence and Soft Computing, 2022
The present research is an effort to enhance the performance of voice processing systems, in our case the speaker identification system (SIS) by addressing the variability caused by the dialectical variations of a language.
Shahid Munir Shah   +2 more
doaj   +1 more source

Analysis and Investigation of Speaker Identification Problems Using Deep Learning Networks and the YOHO English Speech Dataset

open access: yesApplied Sciences, 2023
The rapid momentum of deep neural networks (DNNs) in recent years has yielded state-of-the-art performance in various machine-learning tasks using speaker identification systems. Speaker identification is based on the speech signals and the features that
Nourah M. Almarshady   +2 more
doaj   +1 more source

Whispering Speaker Identification [PDF]

open access: yesMultimedia and Expo, 2007 IEEE International Conference on, 2007
This paper describes a study of automatically identifying whispering speakers. People usually whisper in order to avoid being identified or overheard by lowering their voices. The study compares performances between normal and whispered speech mode in clean and noisy environment under matched and mismatched training conditions, and describes the impact
Jin, Qin   +2 more
openaire   +3 more sources

Voice Identification Using MFCC and Vector Quantization

open access: yesمجلة بغداد للعلوم, 2020
The speaker identification is one of the fundamental problems in speech processing and voice modeling. The speaker identification applications include authentication in critical security systems and the accuracy of the selection.
Bassel Alkhatib   +1 more
doaj   +1 more source

Enhanced Multiple Speakers’ Separation and Identification for VOIP Applications Using Deep Learning

open access: yesApplied Sciences, 2023
Institutions have been adopting work/study-from-home programs since the pandemic began. They primarily utilise Voice over Internet Protocol (VoIP) software to perform online meetings. This research introduces a new method to enhance VoIP calls experience
Amira A. Mohamed   +2 more
doaj   +1 more source

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