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Speaker Recognition

Über Speaker Recognition

Bachelor Thesis from the year 2019 in the subject Engineering - Computer Engineering, grade: A, National University of Malaysia (Apu), course: Mechatronics, language: English, abstract: Voice recognition is a computer software program or hardware device with the ability to decode the human voice. Voice recognition is a system that allows for a secure method of authenticating speakers, the system work in such a way that it general speaker model during the enrollment phase which based on the speaker characteristics. The system testing phase typically involves making a claim on the identity of an unknown speaker using the given speech characteristics and the trained models. However, speaker identification is known to be one among the two categories of speaker recognition system because speaker recognition can be categorized also as speaker verification whereas, the main difference between both speaker identification and speaker verification ensure to known if the person speaking and claim to be is fully verified while speaker identification make multiple decision by comparing of the person speaking with the one trained or store in database as an attempt to identify the speaker. The interest of the assignment is speaker identification; therefore, speaker identification is the main focus for this study.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9783346980236
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 32
  • Veröffentlicht:
  • 24. November 2023
  • Ausgabe:
  • 23001
  • Abmessungen:
  • 148x3x210 mm.
  • Gewicht:
  • 62 g.
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Beschreibung von Speaker Recognition

Bachelor Thesis from the year 2019 in the subject Engineering - Computer Engineering, grade: A, National University of Malaysia (Apu), course: Mechatronics, language: English, abstract: Voice recognition is a computer software program or hardware device with the ability to decode the human voice. Voice recognition is a system that allows for a secure method of authenticating speakers, the system work in such a way that it general speaker model during the enrollment phase which based on the speaker characteristics. The system testing phase typically involves making a claim on the identity of an unknown speaker using the given speech characteristics and the trained models.

However, speaker identification is known to be one among the two categories of speaker recognition system because speaker recognition can be categorized also as speaker verification whereas, the main difference between both speaker identification and speaker verification ensure to known if the person speaking and claim to be is fully verified while speaker identification make multiple decision by comparing of the person speaking with the one trained or store in database as an attempt to identify the speaker. The interest of the assignment is speaker identification; therefore, speaker identification is the main focus for this study.

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