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Signal & Image Processing : An International Journal, 2022 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
Arundhati Mehendale, M. Dixit
semanticscholar +4 more sources
Text-Independent Speaker Identification Through Feature Fusion and Deep Neural Network
IEEE 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 +4 more sources
Closed-set automatic speaker identification using multi-scale recurrent networks in non-native children. [PDF]
Int J Inf Technol, 2023 Children may benefit from automatic speaker identification in a variety of applications, including child security, safety, and education. The key focus of this study is to develop a closed-set child speaker identification system for non-native speakers ...
Radha K, Bansal M.
europepmc +2 more sources
Enhancing speaker identification through reverberation modeling and cancelable techniques using ANNs. [PDF]
PLoS ONEThis 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
Improving speaker de-identification with functional data analysis of f0 trajectories [PDF]
Speech Communication, 2022 Due to a constantly increasing amount of speech data that is stored in dif-ferent types of databases, voice privacy has become a major concern. To re-spond to such concern, speech researchers have developed various methods for speaker de-identification ...
Lauri Tavi +2 more
exaly +2 more sources
A Robust Speaker Identification System Using the Responses from a Model of the Auditory Periphery. [PDF]
PLoS 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
Deep CNNs With Self-Attention for Speaker Identification
IEEE Access, 2019 Most current works on speaker identification are based on i-vector methods; however, there is a marked shift from the traditional i-vector to deep learning methods, especially in the form of convolutional neural networks (CNNs).
Nguyen Nang An +2 more
doaj +2 more sources
Alexandria Engineering Journal, 2011 This paper reports an approach that depends on Continuous Hidden Markov Models (CHMMs) to identify Arabic speakers automatically from their voices. The Mel-Frequency Cepstral Coefficients (MFCCs) were selected to describe the speech signal.
Hesham Tolba
doaj +3 more sources
Speaker Identification from emotional and noisy speech data using learned voice segregation and Speech VGG [PDF]
Expert systems with applications, 2022 Speech signals are subjected to more acoustic interference and emotional factors than other signals. Noisy emotion-riddled speech data is a challenge for real-time speech processing applications.
Shibani Hamsa +5 more
semanticscholar +1 more source
Emotional Speaker Identification using a Novel Capsule Nets Model [PDF]
Expert systems with applications, 2022 Speaker recognition systems are widely used in various applications to identify a person by their voice; however, the high degree of variability in speech signals makes this a challenging task.
Ali Bou Nassif +5 more
semanticscholar +1 more source