Integracija narekovalnika za slovenski jezik v Microsoft 365

diplomsko delo

Nejc Bezget (Author), Marko Bajec (Mentor)

Abstract

Včasih se znajdemo v situaciji, ko je pisanje na roko ali tipkanje na tipkovnico nepraktično, zamudno ali je zaradi posameznikovih motoričnih ovir oteženo. V takšnih primerih je dobrodošla rešitev možnost uporabe glasovnega narekovanja. V diplomski nalogi smo se ukvarjali z razvojem narekovalnika za slovenski jezik in njegovo integracijo v Microsoft Word. Natančneje, razvili smo dodatek za Microsoft Word, ki omogoča prenos razpoznanega govora v tekstovni urejevalnik. Obenem omogoča urejanje dokumenta z uporabo zvočnih ukazov. Ukazi so sestavljeni iz besednih zvez (npr. nova vrstica, briši besedo, itd.), na katere se urejevalnik ustrezno odzove.

Keywords

narekovalnik;tekstovni urejevalnik;govor v tekst;visokošolski strokovni študij;diplomske naloge;

Data

Language:	Slovenian
Year of publishing:	2022
Typology:	2.11 - Undergraduate Thesis
Organization:	UL FRI - Faculty of Computer and Information Science
Publisher:	[N. Bezget]
UDC:	004.4(043.2)
COBISS:	102656771
Views:	74
Downloads:	17
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Development of a speech to text user interface for slovene
Secondary abstract:	Sometimes we find that writing by hand or by keyboard can be impractical, tedious, or outright difficult due to one’s physical inability. In such circumstances, it would be beneficial to use a solution which takes advantage of one’s voice for dictation. In this bachelor thesis we covered the development of a dictation application for Slovene and its integration with Microsoft Word. More specifically, we developed an add-in for Microsoft Word, which can transfer speech-recognized text to the text editor. Furthermore, it is capable of editing the text by use of voice commands. The commands consist of phrases (new line, delete word, etc.), to which the application reacts accordingly.
Secondary keywords:	dicatation application;text editor;speech to text;computer science;diploma;Računalništvo;Univerzitetna in visokošolska dela;
Type (COBISS):	Bachelor thesis/paper
Study programme:	1000470
Embargo end date (OpenAIRE):	1970-01-01
Thesis comment:	Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages:	53 str.
ID:	14808609