Abstract
Humans can identify a speaker by listening to their voice, over the telephone, or on any digital devices. Acquiring this congenital human competency, authentication technologies based on voice biometrics, such as automatic speaker recognition (ASR), have been introduced. An ASR recognizes speakers by analyzing speech signals and characteristics extracted from speaker's voices. ASR has recently become an effective research area as an essential aspect of voice biometrics. Specifically, this literature survey gives a concise introduction to ASR and provides an overview of the general architectures dealing with speaker recognition technologies, and upholds the past, present, and future research trends in this area. This paper briefly describes all the main aspects of ASR, such as speaker identification, verification, diarization etc. Further, the performance of current speaker recognition systems are investigated in this survey with the limitations and possible ways of improvement. Finally, a few unsolved challenges of speaker recognition are presented at the closure of this survey.
Highlights
Speaker recognition is a biometric scheme applied to authenticate user’s individuality using the specific characteristics elicited from their speech utterances
5) Publication year and type: At the beginning of this work, 395 papers were collected from various resources, and 281 papers were finalized for the survey
Limited investigation has been conducted in the vast research domain, and most of them are currently outdated
Summary
Speaker recognition is a biometric scheme applied to authenticate user’s individuality using the specific characteristics elicited from their speech utterances. It is the automatic process of acknowledging the speaker depending on the speech signal’s characteristic features. The Speaker recognition system uses the speaker’s voice utterances to recognize their individuality and control access to services, such as voice dialing, voice mail, security control, etc. The first automatic speaker recognition (ASR) system came into existence in 1962 through an article by Lawrence G. The speaker recognition system’s evolution from the late 1900s to the early 2000s is upheld in Figure 1 [3]
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