A Speech-and-Speaker Identification System: Feature Extraction, Description, and Classification of Speech-Signal Image

Saeed, Khalid; Nammous, Mohammad K.

doi:10.1109/tie.2007.891647

Cited by 64 publications

(21 citation statements)

References 9 publications

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“…the researchers are working with different features such as MFCC [4][5][6][7], source features [8][9][10][11][12] with different classification techniques [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Text independent emotion recognition for Telugu speech by using prosodic features

Mannepalli¹,

Maloji²,

Sastry³

et al. 2018

IJET

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The human speech delivers different types of information about the speaker and speech. From the speech production side, the speech signal carries linguistic information such as the meaningful message and the language and emotional, geographical and the speaker's physiological characteristics of the speaker information are conveyed. This paper focuses on automatically identifying the emotion of a speaker given a sample of speech. the speech signals considered in this work are collected from Telugu speakers. The features like pitch, pitch related prosody, energy and formants. The overall recognition accuracy obtained is 72% in this work.

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“…the researchers are working with different features such as MFCC [4][5][6][7], source features [8][9][10][11][12] with different classification techniques [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Text independent emotion recognition for Telugu speech by using prosodic features

Mannepalli¹,

Maloji²,

Sastry³

et al. 2018

IJET

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“…F. T. H. den, M. Balm [2] states that, a residential gateway connects one or more access networks to one or more home networks and delivers services to the home environment. Saeed and M. K. Nammous [3] implemented speech and speaker identification method. It is based on spoken arabic digit recognition.…”

Section: Introductionmentioning

confidence: 99%

An ARM based Door Phone Embedded System for Voice and Face Identification and Verification by Open CV and Qt GUI Framework

Maheswari¹,

Chaithanya²

2014

IJCA

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Door phone embedded system for voice and face based user recognition is mainly used for security purpose. A natural way to identify a person is through their voice and face. Voice characteristics are different among individuals due to differences in their sound dynamics, vocal chords etc. A practical problem is voice can be trap by anyone. This proposed system is to recognize user password through voice and user recognize face at the door based on ARM processor. Speech technology is not 100% reliable but using an embedded microphone array increases speech in very noisy environments. Face Recognition is the process of matching the detected 'face' to one of many faces known to the file system. The system consists of three parts. First users pronounce a password through MIC which he enrolled and the MIC is present on ARM 9 board. Secondly, using an usb camera interface images is captured and the image is processed with help of Opencv and compared with existing database. And finally if the current image is match with any of existing image the system forwards user password to owner mobile through GSM module. The main aim of this project is to recognize the voice and face of the user at the door based on ARM processor. The algorithms were implemented in the system using C++. The system uses the Intel OpenCV library for image processing. However, when we use OpenCV library to detect a frontal face in an image using its Haar Cascade classifier face Detector, this will increase the human computer interaction by using real time face recognition. Phonon multimedia framework is used to display the image of the user. So that when user place face in front of camera it display recognize image of the user.

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“…In addition, the mutual identification protocol can allow two communicating parties to verify each other. Thus, there are four important security problems that the user identification scheme must solve, i.e., 1) it must determine whether users are legitimate or not; 2) service providers must be authenticated; 3) a common session key must be appropriately established; and 4) the privacy of legal users must be ensured [9]- [13].…”

Section: Introductionmentioning

confidence: 99%

A Secure Single Sign-On Mechanism for Distributed Computer Networks

Chang

Lee

2012

IEEE Trans. Ind. Electron.

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User identification is an important access control mechanism for client-server networking architectures. The concept of single sign-on can allow legal users to use the unitary token to access different service providers in distributed computer networks. Recently, some user identification schemes have been proposed for distributed computer networks. Unfortunately, most existing schemes cannot preserve user anonymity when possible attacks occur. Also, the additional time-synchronized mechanisms they use may cause extensive overhead costs. To overcome these drawbacks, we propose a secure single sign-on mechanism that is efficient, secure, and suitable for mobile devices in distributed computer networks.

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A Speech-and-Speaker Identification System: Feature Extraction, Description, and Classification of Speech-Signal Image

Cited by 64 publications

References 9 publications

Text independent emotion recognition for Telugu speech by using prosodic features

Text independent emotion recognition for Telugu speech by using prosodic features

An ARM based Door Phone Embedded System for Voice and Face Identification and Verification by Open CV and Qt GUI Framework

A Secure Single Sign-On Mechanism for Distributed Computer Networks

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