ProtoLOGOS, system for Romanian language automatic speech recognition and understanding (ASRU)

Author

Militaru, Diana ; Gavat, Inge ; Dumitru, Octavian ; Zaharia, Tiberiu ; Segarceanu, Svetlana

Author_Institution

Fac. of Electron., Telecommun. & Inf. Technol., Univ. Politeh., Bucharest, Romania

fYear

2009

fDate

18-21 June 2009

Firstpage

1

Lastpage

9

Abstract

The ProtoLOGOS Romanian language automatic speech recognition and understanding system is based at the level of acoustical modeling on the statistical framework of hidden Markov models and at the linguistic level on a finite state grammar or a bigram language model. The system enhanced the speech signal modeling by using for the first time the PLP (Perceptual Linear Prediction) features in a Romanian language recognition system. The main performance indicator for our system is the phrase recognition rate. This paper presents the main results obtained using the two language models already mentioned and the METEO database, constituted by broadcasted forecast news records.

Keywords

hidden Markov models; natural language processing; speech recognition; statistical analysis; Romanian language automatic speech recognition; acoustical modeling; bigram language model; finite state grammar; hidden Markov model; perceptual linear prediction; phrase recognition rate; speech signal modeling; statistical framework; Automatic speech recognition; Cepstral analysis; Dictionaries; Hidden Markov models; Information technology; Mel frequency cepstral coefficient; Natural languages; Predictive models; Speech enhancement; Speech recognition; CDHMM; HMM; Romanian language; SCHMM; language model; monophones; speech recognition; speech understanding; triphones;

fLanguage

English

Publisher

ieee

Conference_Titel

Speech Technology and Human-Computer Dialogue, 2009. SpeD '09. Proceedings of the 5-th Conference on

Conference_Location

Constant

Print_ISBN

978-1-4244-4727-5

Type

conf

DOI

10.1109/SPED.2009.5156171

Filename

5156171