Intelligibility is more than a single word: Quantification of speech intelligibility by ASR and prosody

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4629 LNAI, Issue , 2007, Pages 278-285

  Maier, Andreas ^a   Haderlein, Tino ^a   Schuster, Maria ^a   Nkenke, Emeka ^a   Nöth, Elmar ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIORAL RESEARCH; CORRELATION METHODS; SPEECH RECOGNITION; SPEECH SYNTHESIS;

ASR; LARYNGECTOMEES; PROSODY;

SPEECH INTELLIGIBILITY;

EID: 38049119736     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74628-7_37     Document Type: Conference Paper

References (16)

1. Haderlein, T.: Nöth, E., Schuster, M., Eysholdt, U., Rosanowski, F.: Evaluation of Tracheoesophageal Substitute Voices Using Prosodic Features. In: Hoffmann, R., Mixdorff, H. (eds.) Proc. Speech Prosody, 3rd International Conference, Dresden, Germany, TUDpress, pp. 701-704 (2006)
2. Harding, A., Grunwell, P.: Active versus passive cleft-type speech characteristics. Int. J. Lang. Commun. Disord. 33(3), 329-352 (1998)
3. Fox, A.: PLAKSS - Psycholinguistische Analyse kindlicher Sprechstörungen. Swets & Zeitlinger, Frankfurt a.M., now available from Harcourt Test Services GmbH, Germany (2002)
4. Schukat-Talamazzini, E., Niemann, H., Eckert, W., Kuhn, T., Rieck, S.: Automatic Speech Recognition without Phonemes. In: Proceedings European Conference on Speech Communication and Technology (Eurospeech), Berlin, Germany, pp. 129-132 (1993)
5. Wahlster, W. (ed.): Verbmobil: Foundations of Speech-to-Speech Translation. Springer, Berlin (2000)
6. Stemmer, G.: Modeling Variability in Speech Recognition. PhD thesis, Chair for Pattern Recognition, University of Erlangen-Nuremberg, Germany (2005)
7. Gales, M., Pye, D., Woodland, P.: Variance compensation within the MLLR framework for robust speech recognition and speaker adaptation. In: Proc. ICSLP '96. Philadelphia, USA, vol. 3 pp. 1832-1835 (1996)
8. Maier, A., Hacker, C., Nöth, E., Nkenke, E., Haderlein, T., Rosanowski, F., Schuster, M.: Intelligibility of children with cleft lip and palate: Evaluation by speech recognition techniques. In: Proc. International Conf. on Pattern Recognition. Hong Kong, China, vol. 4, pp. 274-277 (2006)
9. Schuster, M., Maier, A., Haderlein, T., Nkenke, E., Wohlleben, U., Rosanowski, F., Eysholdt, U., Nöth, E.: Evaluation of Speech Intelligibility for Children with Cleft Lip and Palate by Automatic Speech Recognition. Int. J. Pediatr. Otorhinolaryngol. 70, 1741-1747 (2006)
10. Kießling, A.: Extraktion und Klassifikation prosodischer Merkmale in der automatischen Sprachverarbeitung. Berichte aus der Informatik. Shaker, Aachen (1997)
11. Nöth, E., Batliner, A., Kießling, A., Kompe, R., Niemann, H.: Verbmobil: The Use of Prosody in the Linguistic Components of a Speech Understanding System. IEEE Trans. on Speech and Audio Processing 8, 519-532 (2000)
12. Batliner, A., Buckow, A., Niemann, H., Nöth, E., Warnke, V.: The Prosody Module. [5], 106-121
13. Smola, A., Schölkopf, B.: A tutorial on support vector regression. In: NeuroCOLT2 Technical Report Series, NC2-TR-1998-030 (1998)
14. Cohen, J., Cohen, P.: Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Lawrence Erlbaum Associates, Hillsdale, New Jersey (1983)
15. Hall, M.A.: Correlation-based Feature Subset Selection for Machine Learning. PhD thesis, University of Waikato, Hamilton, New Zealand (1998)
16. Liu, H., Setiono, R.: A probabilistic approach to feature selection - a filter solution. In: 13th International Conference on Machine Learning, pp. 319-327 (1996)