The Role and Usage of Supra-segmental Features in Automatic Speech Recognition

[1]  Elmar Nöth,et al.  Integrated recognition of words and prosodic phrase boundaries , 2002, Speech Commun..

[2]  György Szaszák,et al.  Examination of Pronunciation Variation from Hand-Labelled Corpora , 2004, TSD.

[3]  György Szaszák,et al.  Speech Recognition Supported by Prosodic Information for Fixed Stress Languages , 2007, TSD.

[4]  N. M. Veilleuz,et al.  Prosody/Parse Scoring and Its Application in ATIS , 1993, HLT.

[5]  György Szaszák,et al.  Using prosody for the improvement of automatic speech recognition , 2008 .

[6]  Toomas Altosaar,et al.  Neural network models for Finnish prosody , 1999 .

[7]  György Szaszák,et al.  Prosodic Cues for Automatic Phrase Boundary Detection in ASR , 2006, TSD.

[8]  Elmar Nöth,et al.  Prosodic scoring of word hypotheses graphs , 1995, EUROSPEECH.

[9]  György Szaszák,et al.  Speech recognizer for preparing medical reports: Development experiences of a Hungarian speaker independent continuous speech recognizer , 2006 .

[10]  György Szaszák,et al.  Automatic Segmentation of Continuous Speech on Word Level Based on Supra-segmental Features , 2005, Int. J. Speech Technol..

[11]  László Hunyadi,et al.  Hungarian Sentence Prosody and Universal Grammar: On the Phonology – Syntax Interface , 2002 .

[12]  Anna Esposito,et al.  Fundamentals of verbal and nonverbal communication and the biometric issue , 2007 .

[13]  J. Mehler,et al.  Phonological phrase boundaries constrain lexical access II. Infant data , 2004 .

[14]  Gökhan Tür,et al.  Prosody-based automatic segmentation of speech into sentences and topics , 2000, Speech Commun..

[15]  György Szaszák,et al.  Using Prosody in Fixed Stress Languages for Improvement of Speech Recognition , 2007, COST 2102 Workshop.