A Study of the Influence of Speech Type on Automatic Language Recognition Performance

Automatic language recognition on spontaneous speech has experienced a rapid development in the last few years. This development has been in part due to the competitive technological Language Recognition Evaluations (LRE) organized by the National Institute of Standards and Technology (NIST). Until now, the need to have clearly defined and consistent evaluations has kept some real-life application issues out of these evaluations. In particular, all past NIST LREs have used exclusively conversational telephone speech (CTS) for development and test. Fortunately this has changed in the current NIST LRE since it includes also broadcast speech. However, for testing only the telephone speech found in broadcast data will be used. In real-life applications, there could be several more types of speech and systems could be forced to use a mix of different types of data for training and development and recognition. In this article, we have defined a test-bed including several types of speech dat...

• Type: Conference
• Year: 2010
• Where: LREC
• Authors: Alejandro Abejón, Doroteo Torre Toledano, Danilo Spada, González Victor, Daniel Hernández López
• Keywords: Education, Language Recognition, LREC 2010, Nist Lre, Telephone Speech