Pregled bibliografske jedinice broj: 1118005
Spoken notifications in smart environments using Croatian language
Spoken notifications in smart environments using Croatian language // Computer Science and Information Systems, 18 (2021), 1; 231-250 doi:10.2298/csis200424036s (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1118005 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Spoken notifications in smart environments using
Croatian language
Autori
Soic, Renato ; Vukovic, Marin ; Jezic, Gordan
Izvornik
Computer Science and Information Systems (1820-0214) 18
(2021), 1;
231-250
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
natural language processing ; smart environment ; speech synthesis ; natural language generation
Sažetak
Speech technologies have advanced significantly in the last decade, mostly due to rise in available computing power combined with novel approaches to natural language processing. As a result, speech-enabled systems have become popular commercial products, successfully integrated with various environments. However, this can be stated for English and a few other “big” languages. From the perspective of a minority language, such as Croatian, there are many challenges ahead to achieve comparable results. In this paper, we propose a model for natural language generation and speech synthesis in a smart environment using Croatian language. The model is evaluated on 27 users to estimate the quality of user experience. The evaluation goal was to determine what users perceive to be more important – generated speech quality or grammatical correctness of the spoken content. It is shown that most users perceived grammatically correct spoken texts as being of the highest quality.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-UIP-2017-05-6917 - Visokokvalitetna strojna tvorba govora za hrvatski jezik (HR-SYNTH) (Vuković, Marin, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus