Voice pattern recognition system

Date of Publication

1991

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Computer Science with Specialization in Computer Technology

College

College of Computer Studies

Department/Unit

Computer Technology

Abstract/Summary

Voice Pattern Recognition System (VoPRecSys), is a text independent speaker recognition system that is capable of recognizing the identity of the speakers from their input voices. The system first creates templates of the input signal, the resulting templates are then compared with the reference templates in the systems vocabulary library. The acoustic signals in the library are those previously trained by the trainer or trainers. If the input voice from the trainer exists in the vocabulary, then the system can identify the correct identification of the speaker. The criteria used in selecting the correct identity of the speaker is by the use of density features and the smallest Mahalanobis distance criteria. The system, though it is text-independent, will be able to recognize clear, discreet, and distinct input voices which are pronounced correctly and properly. Reliability of the system's performance depends on the way the user speaks the input voice. Also provided in the system are useful utilities that would help in the study of the data gathered during the recognition process. These utilities are in form of graphic displays of the input voice and the word listings uttered by different speakers. Though no specific application has been interfaced to the system, the possibility that it can be interfaced to any desired application is never impossible.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU07933

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

1 v. (various pagings)

Keywords

Voice; Pattern recognition systems; Computer vision; Coding theory; Speech processing systems

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