Title :
ASR for Romanian Language
Author :
Gavat, Inge ; Dumitru, C.O.
Author_Institution :
Univ. POLITEHNICA Bucharest, Buchares
Abstract :
In this paper we will present progresses made in Automatic Speech Recognition (ASR) for Romanian language. The recognition system is based on statistical modelling with hidden Markov models (HMMs). The progresses concern enhancement of modelling by taking into account the context in form of triphones, improvement of speaker independence by applying a gender specific training and enlargement of the feature categories used to describe speech sequences derived not only from perceptual cepstral analysis but also from perceptual linear prediction.
Keywords :
hidden Markov models; natural language processing; speech enhancement; Romanian language; automatic speech recognition; gender specific training; hidden Markov models; perceptual cepstral analysis; perceptual linear prediction; speaker independence; statistical modelling; Acoustic testing; Automatic speech recognition; Context modeling; Feature extraction; Hidden Markov models; Humans; Natural languages; Speech analysis; Speech enhancement; Speech recognition; ASR; HMM; LPC; MFCC; PLP; monophones; triphones;
Conference_Titel :
Systems, Signals and Image Processing, 2007 and 6th EURASIP Conference focused on Speech and Image Processing, Multimedia Communications and Services. 14th International Workshop on
Conference_Location :
Maribor
Print_ISBN :
978-961-248-029-5
Electronic_ISBN :
978-961-248-029-5
DOI :
10.1109/IWSSIP.2007.4381101
