Add to ORKGSpeech sounds contain thousands of acoustical features. The linguistic acoustical features can be importantly used to recognize the identity of the speakers due to the fact that every person produces different sounds. This paper is descriptively aimed to investigate the role of tone frequency characters to recognize a speaker’s identity. In order to achieve the objective of this research, the researcher pictures the character of tone frequencies by using PRAAT 4.5.1.4. Supported by mathematical measurement, the writer will formulize the role of these features for identification of personal identity and describe the logical implication of this formulation
In this study, relationships between speaker identification and amount of dynamic features were inve...
The identity of persons in audiovisual documents represents very important semantic information for ...
The human voice is the most important sound source in our environment, not only because it produces ...
Speech sounds contain thousands of acoustical features. The linguistic acoustical features can be im...
Speaker recognition is the computing task of validating a user's claimed identity using characterist...
Humans have the ability to recognize other humans by voice alone. This is important both socially an...
Automatic speaker recognition is the use of a machine (i.e. software or hardware) to recognize a per...
Sound exists only in the moment, and cannot be referenced or searched, except in the mutable memorie...
Speaker recognition is defined as the.ability to recognise a speaker's identity on the basis of hea...
Speaker recognition is subject to growing attention. Many interesting applications can be developed ...
Authentication and security in automated systems have become very much necessary in our days and man...
Prior speech and linguistics research has focused on the use of phonemes recognition in speech, and ...
This paper aims at testing a new parameter of acoustic analysis of speech to be used in forensic pho...
Voices are highly individual, and this information may be used to recognize people. This chapter pro...
Through speech signals, it is possible to determine the identity of the speaker, the text of the spe...
In this study, relationships between speaker identification and amount of dynamic features were inve...
The identity of persons in audiovisual documents represents very important semantic information for ...
The human voice is the most important sound source in our environment, not only because it produces ...
Speech sounds contain thousands of acoustical features. The linguistic acoustical features can be im...
Speaker recognition is the computing task of validating a user's claimed identity using characterist...
Humans have the ability to recognize other humans by voice alone. This is important both socially an...
Automatic speaker recognition is the use of a machine (i.e. software or hardware) to recognize a per...
Sound exists only in the moment, and cannot be referenced or searched, except in the mutable memorie...
Speaker recognition is defined as the.ability to recognise a speaker's identity on the basis of hea...
Speaker recognition is subject to growing attention. Many interesting applications can be developed ...
Authentication and security in automated systems have become very much necessary in our days and man...
Prior speech and linguistics research has focused on the use of phonemes recognition in speech, and ...
This paper aims at testing a new parameter of acoustic analysis of speech to be used in forensic pho...
Voices are highly individual, and this information may be used to recognize people. This chapter pro...
Through speech signals, it is possible to determine the identity of the speaker, the text of the spe...
In this study, relationships between speaker identification and amount of dynamic features were inve...
The identity of persons in audiovisual documents represents very important semantic information for ...
The human voice is the most important sound source in our environment, not only because it produces ...