Spoken Language Recognition With Prosodic Features. Prosodic features are features that appear when we put sounds together in connected speech. It is as important to teach learners prosodic features as successful communication depends as much on intonation, stress and rhythm as on the correct pronunciation of sounds.
In this paper, we examine the effectiveness of prosodic features for language identification. Prosodic differences among world languages include variations in intonation, rhythm, and stress. These variations are represented using features derived from fundamental frequency (F0; contour, duration, and energy contour. IVECTOR-BASED PROSODIC SYSTEM FOR LANGUAGE IDENTIFICATION David Mart ´ nez 1, Luk ´as Burget 2, Luciana Ferrer 2, Nicolas Scheffer 2 1 Aragon Institute for Engineering Research (I3A) University of Zaragoza, Spain 2 Speech Technology and Research Laboratory, SRI International, Menlo Park, CA, USA ABSTRACT.
PDF Ivector-based Prosodic System for Language Identification. Abstract. The discussion in Chap. 1 is on the automatic extraction of prosodic features for recognizing speaker, language, and speech. In this chapter, different techniques suggested for automatic extraction of prosodic features are described. The techniques are broadly classified as automatic speech recognizer (ASR) free and ASR-based approaches.
English Language - Prosodic Features. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda) Most current language identification (LID) systems make little or no use of prosodic information, despite the importance of prosody in LID by humans. The greatest obstacle has been that of finding an appropriate feature set which captures linguistically relevant prosodic information.