Towards the development of a speaker independent recognition for digital audio forensic analysis / George P. Gile [and four others].

By: Contributor(s): Material type: TextTextPublication details: Manila : National University, 2018Description: x, 37 leaves : color illustrations ; 28 cmLOC classification:
  • UGT CCIT BSCS-DF .G55 2018
Contents:
Title page -- Approval page -- Panel of evaluators and examiners -- Acceptance letter -- Reviewers recommendation -- Grammar checking certificate -- Acknowledgement -- Abstract -- Chapter I: Introduction -- Chapter II: Review of related literature -- Chapter III: Methodology -- Chapter IV: Presentation, analysis and discussions -- Chapter V: Summary, conclusion and recommendation -- References -- Appendices.
Summary: Crime investigation process needs to be faster and efficient as more and more legal cases involve recorded samples of speech. Whether the recorded sample of speech has happened within the crime scene or would be provided in the courtroom, by applying speaker diarization, the data can be searched as to whether the audio has the credibility to be an evidence in the case.
Item type: Thesis
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Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Thesis Thesis National University - Manila LRC - Main Thesis Digital Forensic UGT CCIT BSCS-DF .G55 2018 (Browse shelf(Opens below)) c.1 Available UGTHE000001454

Includes bibliographical references.

Title page -- Approval page -- Panel of evaluators and examiners -- Acceptance letter -- Reviewers recommendation -- Grammar checking certificate -- Acknowledgement -- Abstract -- Chapter I: Introduction -- Chapter II: Review of related literature -- Chapter III: Methodology -- Chapter IV: Presentation, analysis and discussions -- Chapter V: Summary, conclusion and recommendation -- References -- Appendices.

Crime investigation process needs to be faster and efficient as more and more legal cases involve recorded samples of speech. Whether the recorded sample of speech has happened within the crime scene or would be provided in the courtroom, by applying speaker diarization, the data can be searched as to whether the audio has the credibility to be an evidence in the case.

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