Application of automatic speech recognition to quantitative assessment of tracheoesophageal speech with different signal quality

Folia Phoniatrica et Logopaedica

Volumn 61, Issue 1, 2009, Pages 12-17

  Haderlein, Tino ^a,b   Riedhammer, Korbinian ^a   Nöth, Elmar ^a   Toy, Hikmet ^a   Schuster, Maria ^a   Eysholdt, Ulrich ^a   Hornegger, Joachim ^a   Rosanowski, Frank ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^b Tino Haderlein Abteilung für Phoniatrie und Pädaudiologie   (Germany)

Author keywords

Agreement measures; Automatic speech recognition; Laryngectomy; Substitute speech

Indexed keywords

ADULT; AGED; ARTICLE; AUTOMATIC SPEECH RECOGNITION; CLINICAL ARTICLE; CONTROLLED STUDY; CORRELATION COEFFICIENT; EVALUATION; FEMALE; HUMAN; LARYNGECTOMY; MALE; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SIGNAL DETECTION; SPEECH; SPEECH INTELLIGIBILITY; SPEECH REHABILITATION; SPEECH THERAPY; TELEPHONE; TRACHEOESOPHAGUS SPEECH;

AGED; AUTOMATIC DATA PROCESSING; FEMALE; HUMANS; MALE; MIDDLE AGED; REPRODUCIBILITY OF RESULTS; SPEECH INTELLIGIBILITY; SPEECH PRODUCTION MEASUREMENT; SPEECH RECOGNITION SOFTWARE; SPEECH, ALARYNGEAL; TELEPHONE;

EID: 58149101574     PISSN: 10217762     EISSN: None     Source Type: Journal    
DOI: 10.1159/000187620     Document Type: Article

References (29)

1. Schuster M, Lohscheller J, Kummer P, Hoppe U, Eysholdt U, Rosanowski F: Quality of life in laryngectomees after prosthetic voice restoration. Folia Phoniatr Logop 2003; 55: 211-219.
2. Devins GM, Stam HJ, Koopmans JP: Psychosocial impact of laryngectomy mediated by perceived stigma and illness intrusiveness. Can J Psychiatry 1994; 39: 608-616.
3. Brown DH, Hilgers FJM, Irish JC, Balm AJM: Postlaryngectomy voice rehabilitation: state of the art at the millennium. World J Surg 2003; 27: 824-831.
4. Schutte HK, Nieboer GJ: Aerodynamics of esophageal voice production with and without a Groningen voice prosthesis. Folia Phoniatr Logop 2002; 54: 8-18.
5. Schuster M, Haderlein T, Nöth E, Lohscheller J, Eysholdt U, Rosanowski F: Intelligibility of laryngectomees' substitute speech: automatic speech recognition and subjective rating. Eur Arch Otorhinolaryngol 2006; 263: 188-193.
6. International Phonetic Association: Handbook of the International Phonetic Association. Cambridge, Cambridge University Press, 1999.
7. Telecommunication Standardization Sector of the ITU (ITU-T): Recommendation G.711: Pulse code modulation (PCM) of voice frequencies. Geneva, 1988.
8. Gallwitz F: Integrated Stochastic Models for Spontaneous Speech Recognition; in Studien zur Mustererkennung. Berlin, Logos, 2002, vol 6.
9. Stemmer G: Modeling Variability in Speech Recognition; in Studien zur Mustererkennung. Berlin, Logos, 2005, vol 19.
10. Huang X, Acero A, Hon HW: Spoken Language Processing. Upper Saddle River, Prentice Hall, 2001.
11. Schukat-Talamazzini EG, Niemann H, Eckert W, Kuhn T, Rieck S: Automatic speech recognition without phonemes; in Proc Eur Conf on Speech Commun and Technol (Eurospeech). Berlin, European Speech Communication Association (ESCA), 1993, pp 129-132.
12. Jelinek F: Self-organized language modeling for speech recognition; in Waibel A, Lee KF (eds): Readings in Speech Recognition. San Mateo, Morgan Kaufman, 1990, pp 450-506.
13. Wahlster W (ed): Verbmobil: Foundations of Speech-to-Speech Translation. Berlin, Springer, 2000.
14. Davies M, Fleiss J: Measuring agreement for multinomial data. Biometrics 1982; 38: 1047-1051.
15. Cicchetti D: Assessing inter-rater reliability for rating scales: resolving some basic issues. Br J Psychiatry 1976; 129: 452-456.
16. Uebersax J: Diversity of decision-making models and the measurement of interrater agreement. Psychol Bull 1987; 101: 140-146.
17. Feinstein A, Cicchetti D: High agreement but low kappa: I. The problems of two paradoxes. J Clin Epidemiol 1990; 43: 543-549.
18. Cicchetti D, Feinstein A: High agreement but low kappa: II. Resolving the paradoxes. J Clin Epidemiol 1990; 43: 551-558.
19. Fleiss J: Statistical Methods for Rates and Proportions, ed 2. New York, Wiley, 1981.
20. Krippendorff K: Content Analysis, an Introduction to Its Methodology, ed 2. Thousand Oaks, Sage, 2003.
21. Haderlein T, Steidl S, Nöth E, Rosanowski F, Schuster M: Automatic recognition and evaluation of tracheoesophageal speech; in Sojka P, Kopecek I, Pala K (eds): Proc 7th Int Conf Text, Speech and Dialogue (TSD 2004). Lecture Notes in Artificial Intelligence, vol 3206. Berlin, Springer, 2004, pp 331-338.
22. Fröhlich M, Michaelis D, Strube HW, Kruse E: Acoustic voice analysis by means of the hoarseness diagram. J Speech Lang Hear Res 2000; 43: 706-720.
23. van Gogh CDL, Festen JM, Verdonck-de Leeuw IM, Parker AJ, Traissac L, Cheesman AD, Mahieu HF: Acoustical analysis of tracheoesophageal voice. Speech Commun 2005; 47: 160-168.
24. Moran RJ, Reilly RB, de Chazal P, Lacy PD: Telephony-based voice pathology assessment using automatic speech analysis. IEEE Trans Biomed Eng 2006; 53: 468-477.
25. Moerman M, Pieters G, Martens JP, van der Borgt MJ, Dejonckere P: Objective evaluation of the quality of substitution voices. Eur Arch Otorhinolaryngol 2004; 261: 541-547.
26. Zenner HP: The Postlaryngectomy Telephone Intelligibility Test (PLTT); in Herrmann IF (ed): Speech Restoration via Voice Prosthesis. Berlin, Springer, 1986, pp 148-152.
27. Haderlein T, Riedhammer K, Maier A, Nöth E, Toy H, Rosanowski F: An automatic version of the Post-Laryngectomy Telephone Test; in Matoušek V, Mautner P (eds): Proc 10th Int Conf Text, Speech and Dialogue (TSD 2007). Lecture Notes in Artificial Intelligence, vol 4629. Berlin, Springer, 2007, pp 238-245.
28. Haderlein T, Nöth E, Toy H, Batliner A, Schuster M, Eysholdt U, Hornegger J, Rosanowski F: Automatic evaluation of prosodic features of tracheoesophageal substitute voice. Eur Arch Otorhinolaryngol 2007; 264: 1315-1321.
29. Maier A, Haderlein T, Schuster M, Nkenke E, Nöth E: Intelligibility is more than a single Word: Quantification of Speech Intelligibilty by ASR and Prosody; in Matoušek V, Mautner P (eds): Proc 10th Int Conf Text, Speech and Dialogue (TSD 2007). Lecture Notes in Artificial Intelligence, vol 4629. Berlin, Springer, 2007, pp 278-285.