Automatic Segmentation of Croatian Speech (CROSBI ID 530612)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Martinčić-Ipšić, Sanda ; Ipšić, Ivo
engleski
Automatic Segmentation of Croatian Speech
In the paper we described an automatic segmentation procedure for Croatian speech, which is based on a monophone speech recognition system and on word level transcriptions of speech signals. Automatic segmentation results are presented for 13 hours of 25 professional speaker’ s speech. Indirect measures used for the automatic speech segmentation performance are phoneme recognition correctness and word recognition correctness and accuracy. Additionally the Croatian phoneme duration was calculated from automatically segmented phones. Typical segmentation errors noticed in the results of the automatic segmentation procedure are presented and discussed. The described automatic speech segmentation result is used to build a Croatian large vocabulary speech recognition system and HMM based speech synthesis system, which present modules of the spoken dialog system for the enquiry of weather conditions and forecasts in Croatia.
automatic segmentation; ASR; TTS
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
187-191-x.
2007.
objavljeno
Podaci o matičnoj publikaciji
Proc. vol. CTS-CIS 30th MIPRO 2007
Slobodan, Ribarić ; Leo, Budin
Opatija:
Podaci o skupu
MIPRO - 2007
predavanje
21.05.2007-25.05.2007
Opatija, Hrvatska