SPONTANEOUS SPEECH RECOGNITION FOR ROMANIAN IN SPOKEN DIALOGUE SYSTEMS

被引：0

作者：

Burileanu, Corneliu ^{[1
]}

Popescu, Vladimir ^{[1
,2
]}

Buzo, Andi ^{[1
]}

Petrea, Cristina Sorina ^{[1
]}

Ghelmez-Hanes, Diana ^{[1
]}

机构：

[1] Univ Politehn Bucuresti, Fac Elect Telecommun & Informat Technol, Bucharest, Romania

[2] Univ Avignon, Lab Informat Avignon, Avignon, France

来源：

PROCEEDINGS OF THE ROMANIAN ACADEMY SERIES A-MATHEMATICS PHYSICS TECHNICAL SCIENCES INFORMATION SCIENCE | 2010年 / 11卷 / 01期

关键词：

Continuous speech recognition; Speech database; Hidden Markov Modeling;

D O I：

暂无

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In this paper we present an attempt to develop a speech recognition module for the Romanian language in order to be used in a dialogue system. The main characteristics of such a dialogue system are first discussed. Further, we explain the design and acquisition of a spontaneous speech database for training the decoder: the design guidelines in developing the database, as well as several practical issues encountered, along with some triphones balancing statistics arc pointed out. Then, the speech recognition architecture (based on components in the "Hidden Markov Modeling Toolkit" - HTK) is described in detail, emphasizing the two aspects, training and decoding. In the next section, a discussion of several preliminary recognition results is provided, emphasizing current limitations and the need to significantly increase the size of the database. A set of conclusions and perspectives are offered at the end of the paper.

引用

页码：83 / 91

页数：9

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