diplomsko delo
Lan Zukanović (Author), Marko Bajec (Mentor)

Abstract

Tema diplomske naloge zajema postopek razvoja mobilne aplikacije za prepisovanje govora z uporabo razvojnega ogrodja React Native. Glavna problematika trga takih aplikacij je pomanjkanje kvalitetnih aplikacij s podporo za slovenščino, saj izdajatelji mobilnih operacijski sistemov ne vlagajo dovolj virov za nadgrajevanje vgrajenih modelov za razpoznavo govora, ki trenutno podpirajo le ozek nabor jezikov, zato je bil cilj tega dela, da se oblikuje in razvije funkcionalno aplikacijo z intuitivnim uporabniškim vmesnikom, ki skupaj z uporabo obstoječega modela za razpoznavo slovenščine poskuša rešiti omenjen problem. Predstavljeno rešitev je poskusno uporabljala skupina uporabnikov, ki so potem po določenem časovnem obdobju ocenili svojo izkušnjo z aplikacijo. Na podlagi teh informacij smo prišli do ugotovitev o kvaliteti predstavljene rešitve.

Keywords

React Native, React;mobilna aplikacija;Android;prepisovanje;transkripcija;speech-to-text;STT;računalništvo in informatika;univerzitetni študij;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FRI - Faculty of Computer and Information Science
Publisher: [L. Zukanović]
UDC: 004.7:004.93(043.2)
COBISS: 76015363 Link will open in a new window
Views: 290
Downloads: 65
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Other data

Secondary language: English
Secondary title: Mobile application in React Native for speech transcription
Secondary abstract: The topic of this thesis covers the process of developing a mobile application for speech transcription using the React Native development framework. The main problem of the market of such applications is the lack of support for the Slovene language, as publishers of mobile operating systems do not invest enough resources to upgrade embedded speech recognition models, which currently support only a narrow set of languages. The main goal of this paper is to develop a functional application with an intuitive user interface, which together with the use of the existing model for the recognition of Slovene tries to solve the aforementioned problem. The presented solution was used experimentally by a group of users, who then evaluated their experience with the application after a certain period of time. Based on this information, we came to conclusions about the quality of the presented solution.
Secondary keywords: React Native;React;mobile application;Android;transcription;speech-to-text;STT;computer and information science;diploma;Mobilne aplikacije;Avtomatsko prepoznavanje govora;Računalništvo;Univerzitetna in visokošolska dela;
Type (COBISS): Bachelor thesis/paper
Study programme: 1000468
Embargo end date (OpenAIRE): 1970-01-01
Thesis comment: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages: 71 str.
ID: 13324755