Results 11 to 20 of about 383,886 (331)
Applied 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
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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
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Voice Identification Using MFCC and Vector Quantization
مجلة 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
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Enhanced Multiple Speakers’ Separation and Identification for VOIP Applications Using Deep Learning
Applied 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
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Speaker Recognition Systems in the Last Decade – A Survey [PDF]
Engineering and Technology Journal, 2021 Speaker Recognition Defined by the process of recognizing a person by his\her voice through specific features that extract from his\her voice signal. An Automatic Speaker recognition (ASP) is a biometric authentication system.
Ahmed M. Ahmed, Aliaa K. Hassan
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Robust Speaker Recognition Using Speech Enhancement And Attention Model [PDF]
, 2020 In this paper, a novel architecture for speaker recognition is proposed by cascading speech enhancement and speaker processing. Its aim is to improve speaker recognition performance when speech signals are corrupted by noise.
Hain, Thomas, Huang, Qiang, Shi, Yanpei
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Combining speaker identification and BIC for speaker diarization [PDF]
Interspeech 2005, 2005 This paper describes recent advances in speaker diarization by incorporating a speaker identification step. This system builds upon the LIMSI baseline data partitioner used in the broadcast news transcription system. This partitioner provides a high cluster purity but has a tendency to split the data from a speaker into several clusters, when there is ...
Zhu, Xuan +3 more
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Whispering Speaker Identification [PDF]
Multimedia 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
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Spectral Restoration Based Speech Enhancement for Robust Speaker Identification
International Journal of Interactive Multimedia and Artificial Intelligence, 2018 Spectral restoration based speech enhancement algorithms are used to enhance quality of noise masked speech for robust speaker identification. In presence of background noise, the performance of speaker identification systems can be severely deteriorated.
Nasir Saleem, Tayyaba Gul Tareen
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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
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