dc.contributor
Universitat Politècnica de Catalunya. Arquitectura de Computadors
dc.contributor
Barrado Muxí, Cristina
dc.contributor.author
Cruz Valdez, Monika Louize
dc.date.issued
2021-06-30
dc.identifier
https://hdl.handle.net/2117/348820
dc.identifier
PRISMA-156731
dc.description.abstract
Voice authentication is seen to be a promising solution that can aid tedious traditional authentication systems where the individual must be physically present in the place of transaction. This work covers four scenarios to perform Voice Authentication i.e. the nrolment phase, authentication phase, model improvement and accuracy check. The latter two were designed to allow the author to perform system improvement through modification of parameters during the testing phase. The system is created with the use of Python, Librosa and IBM to record, process and save audio samples from users and generate a corresponding model from the several voice samples obtained.
dc.description.abstract
Objectius de Desenvolupament Sostenible::9 - Indústria, Innovació i Infraestructura
dc.format
application/pdf
dc.publisher
Universitat Politècnica de Catalunya
dc.rights
Restricted access - author's decision
dc.subject
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject
Automatic speech recognition
dc.subject
Python (Computer program language)
dc.subject
Machine Learning
dc.subject
Voice Recognition
dc.subject
Reconeixement automàtic de la parla
dc.subject
Python (Llenguatge de programació)
dc.title
Voice authentication using Python's machine learning and IBM Watson speech to text
