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Croatian Telephone Speech Recognition


Martinčić-Ipšić, Sanda; Ipšić, Ivo
Croatian Telephone Speech Recognition // 29. međunarodni skup Računala u tehničkim sustavima i Inteligentni sustavi (MIPRO 2006) : zbornik radova. Sv. 3 = 29th International Convention Computers in technical systems (CTS) & Intelligent systems : proceedings (CIS) / Budin, Leo ; Ribarić, Slobodan (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2006. str. 182-186 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Croatian Telephone Speech Recognition

Autori
Martinčić-Ipšić, Sanda ; Ipšić, Ivo

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
29. međunarodni skup Računala u tehničkim sustavima i Inteligentni sustavi (MIPRO 2006) : zbornik radova. Sv. 3 = 29th International Convention Computers in technical systems (CTS) & Intelligent systems : proceedings (CIS) / Budin, Leo ; Ribarić, Slobodan - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2006, 182-186

ISBN
953-233-020-8

Skup
Međunarodni skup MIPRO 29 ; 2006)

Mjesto i datum
Opatija, Hrvatska, 22.-26.05.2006

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Acoustic modeling; context dependant phone models; speech recognition

Sažetak
In the paper we present speech recognition experiments of Croatian telephone speech. Recognition of spontaneous and planned speech in the noisy telephone environment is described. The speech recognition system was trained and tested on almost 6 hours of telephone speech material. The telephone speech was recorded daily from broadcast weather reports spoken by meteorologist on the national radio by telephone. The recorded telephone speech is rich in background noises and includes over 1800 different words spoken by 12 male and female speakers. The paper describes the acoustical model of the recognition system, which is based on context independent and context dependant hidden Markov models. The acoustic modelling procedure, based on Croatian phonetic rules is presented. The language model of the speech recognition system is described and speech recognition results are presented.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekt / tema
0009012

Ustanove
Filozofski fakultet, Rijeka