A STATISTICAL MODEL FOR PREDICTING PRONUNCIATION Florian Schiel Bavarian Archive of Speech Signals, Munich ABSTRACT

First Page		Document Content
Date: 2015-08-18 05:11:02 Markov models Artificial intelligence Probability Learning Phonetic transcription Speech recognition Markov chain Image segmentation Hidden Markov model Viterbi algorithm Phonotactics		A STATISTICAL MODEL FOR PREDICTING PRONUNCIATION Florian Schiel Bavarian Archive of Speech Signals, Munich ABSTRACT Add to Reading List Source URL: www.phonetik.uni-muenchen.de Download Document from Source Website File Size: 114,08 KB Share Document on Facebook

	A Formalism of Arabic Phonetic Grammar, and Application on the Automatic Arabic Phonetic Transcription of Transliterated Words 1 Muhammad Attia1,2, Mohsen A. A. Rashwan1,2, Galaal Khallaaf2 Dept. of Electronics & Electri DocID: 1sA4t - View Document
	AUTOMATIC PHONETIC TRANSCRIPTION OF NON−PROMPTED SPEECH Florian Schiel −muenchen.de Department of Phonetics, University of Munich, Germany ABSTRACT DocID: 1skiG - View Document
	Llisterri, J., & Mariño, J. BSpanish adaptation of SAMPA and automatic phonetic transcription. SAM-A/UPC/001/V1. ESPRIT Project 6819 SAM-A, Speech Technology Assessment in Multilingual Applications. DocID: 1rthE - View Document
	How are words stored in memory?: Beyond phones and phonemes 1 Robert Port Department of Linguistics Department of Cognitive Science Indiana University DocID: 1rmgS - View Document
	EVALUATION OF HMM-BASED LAUGHTER SYNTHESIS J´erˆome Urbain and H¨useyin C¸akmak and Thierry Dutoit TCTS Lab, Facult´e Polytechnique, Universit´e de Mons, Place du Parc 20, 7000 Mons, Belgium ABSTRACT In this paper DocID: 1rlp7 - View Document