Tools and Technologies for Computer-Aided Speech and Language Therapy

Speech Communication

Volumn 51, Issue 10, 2009, Pages 948-967

  Saz, Oscar ^a   Yin, Shou Chun ^b   Lleida, Eduardo ^a   Rose, Richard ^b   Vaquero, Carlos ^a   Rodríguez, William R ^a  

^a UNIVERSITY OF ZARAGOZA   (Spain)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

Automatic speech recognition; Pronunciation verification; Speech corpora; Speech disorders; Spoken language learning

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; PRONUNCIATION VERIFICATION; SPEECH CORPORA; SPEECH DISORDERS; SPOKEN LANGUAGE LEARNING;

LINGUISTICS; REMELTING; SPEECH;

SPEECH RECOGNITION;

EID: 67650581740     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.specom.2009.04.006     Document Type: Article

References (47)

1. Acero-Villán, P., Gomis-Cañete, M.-J., 2005. Tratamiento de la Voz (Manual Práctico). CEPE, Madrid, Spain.
2. Aguinaga, G., Armendia, M., Fraile, A., Olangua, P., Uriz, N., 2004. Prueba del Lenguaje Oral Navarra - Revisada. TEA SA, Madrid, Spain.
3. Alarcos, E., 1950. Fonología Española. Gredos, Madrid, Spain.
4. Albor, J.-C., 1991. ELA - Examen Logopédico de Articulación. CEPE, Madrid, Spain.
5. Bengio, S., Mariethoz, J., 2004. A statistical significance test for person authentication. In: Proc. Speaker and Language Recognition Workshop ODYSSEY 2004, Toledo, Spain, pp. 237-244.
6. Coorman, G., Fackrell, J., Rutten, P., Van Coile, B., 2000. Segment selection in the L&H RealSpeak laboratory TTS System. In: Proc. 6th Internat. Conf. on Spoken Language Processing (ICSLP-Interspeech), Beijing, China, pp. 395-398.
7. Cucchiarini, C., Neri, A., de Wet, F., Strik, H., 2007. ASR-based pronunciation training: scoring accuracy and pedagogical effectiveness of a system for Dutch L2 learning. In: Proc. 10th Eur. Conf. on Speech Communication and Technology (Eurospeech-Interspeech), Antwerp, Belgium, pp. 2181-2184.
8. Deller J.-R., Hsu D., and Ferrier L.-J. On the use of Hidden Markov Modelling for recognition of dysarthric speech. Comput. Meth. Programs Biomed. 35 (1991) 125-139
9. Delong E.-R., Delong D.-M., and Clarke-Pearson D.-L. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. J. Biometr. 3 (1988) 837-845
10. Dempster A.-P., Laird N.-M., and Rubin D.-B. Maximum Likelihood for incomplete data via the EM algorithm. J. Roy. Statist. Soc. 39 1 (1977) 1-21
11. Duchateau, J., Cleuren, L., Van Hamme, H., Ghesquiere, P., 2007. Automatic assessment of childrens reading level. In: Proc. 10th Eur. Conf. on Speech Communication and Technology (Eurospeech-Interspeech), Antwerp, Belgium, pp. 1210-1213.
12. Escartín, A., Saz, O., Vaquero, C., Rodríguez, W.-R., Lleida, E., 2008. Comunica Framework Website. .
13. García-Gómez, R., López-Barquilla, R., Puertas-Tera, J.-I., Parera-Bermúdez, J., Haton, M.-C., Haton, J.-P., Alinat, P., Moreno, S., Hess, W., Sánchez-Raya, M.-A., Martínez-Gual, E.-A., Navas-Chabeli-Daza, J.L., Antoine, C., Durel, M.-M., Maurin, G., Hohmann, S., 1999. Speech training for deaf and hearing impaired people: ISAEUS consortium. In: Proc. 6th Eur. Conf. on Speech Communication and Technology (Eurospeech-Interspeech), Budapest, Hungary, pp. 1067-1070.
14. Gauvain J.-L., and Lee C.-H. Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains. IEEE Trans. Speech Audio Process. 2 2 (1994) 291-298
15. Gerosa, M., Narayanan, S., 2008. Investigating assessment of reading comprehension in young children. In: Proc. 2008 Internat. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Las Vegas (NV), USA, pp. 5057-5060.
16. Goronzy, S., Kompe, R., 1999. A combined MAP + MLLR approach for speaker adaptation. In: Proc. Sony Research Forum 99 1, pp. 9-14.
17. Granstroem, B., 2005. Speech technology for language training and e-inclusion. In: Proc. 9th Eur. Conf. on Speech Communication and Technology (Eurospeech-Interspeech), Lisbon, Portugal, pp. 449-452.
18. Hatzis, A., 1999. Optical Logo-Therapy: Computer-Based Audio-Visual Feedback Using Interactive Visual Displays for Speech Training. Ph.D. Thesis, Department of Computer Science, The University of Sheffield, Sheffield, United Kingdom.
19. Hawley, M., Enderby, P., Green, P., Brownsell, S., Hatzis, A., Parker, M., Carmichael, J., Cunningham, S., O'Neill, P., Palmer, R., 2003. STARDUST speech training and recognition for dysarthric users of assistive technology. In: Proc. 7th Conf. of the Association for the Advancement of Assistive Technology in Europe (AAATE), Dublin, Ireland.
20. Ito, A., Tsutsui, R., Makino, S., Suzuki, M., 2008. Recognition of English utterances with grammatical and lexical mistakes for dialogue-based CALL system. In: Proc. 11th Internat. Conf. on Speech Communication and Technology (ICSLP-Interspeech), Brisbane, Australia, pp. 2819-2822.
21. Justo, R., Saz, O., Guijarrubia, V., Miguel, A., Torres, M.-I., Lleida, E., 2008. Improving dialogue systems in a home automation environment. In: Proc. 1st Internat. Conf. on Ambient Media and Systems (Ambi-Sys 2008), Québec City (QC), Canada.
22. Kim, H., Hasegawa-Johnson, M., Perlman, A., Gunderson, J., Huang, T., Watkin, K., Frame, S., 2008. Dysarthric speech database for universal access research. In: Proc. 2008 Internat. Conf. on Spoken Language Processing (ICSLP-Interspeech), Brisbane (QLD), Australia, pp. 1741-1744.
23. Koehn, P., 2005. Europarl: a parallel corpus for statistical machine translation. In: Proc. 10th Machine Translation Summit, Phuket, Thailand.
24. Kornilov, A.-U., 2004. The Biofeedback program for speech rehabilitation of oncological patients after full larynx removal surgical treatment. In: Proc. 9th Internat. Conf. on Speech and Computer (SPECOM), St. Petersburg, Russia.
25. Lefévre, J.-P., 1996. Harp: an autonomous rehabilitation system for hearing impaired people. Tech. Rep., TIDE Project 1060.
26. Legetter C.-J., and Woodland P.-C. Maximum Likelihood Linear Regression for speaker adaptation of the parameters of continuous density Hidden Markov Models. Comput. Speech Language 9 (1995) 171-185
27. Lleida E., and Rose R.-C. Utterance verification in continuous speech recognition: decoding and training procedures. IEEE Trans. Speech Audio Process. 8 2 (2000) 126-139
28. Mangu L., Brill, E., Atocke, A., 1999. Finding consensus among words: lattice-based word error minimization. In: Proc. 6th Eur. Conf. on Speech Communication and Technology (Eurospeech-Interspeech), Budapest, Hungary, pp. 495-498.
29. Martínez, B., Peguero, P., Ezpeleta, J., Falcó, J., Lleida, E., Mínguez, J., Saz, O., 2007. Universidad y educación especial: Desarrollo y resultados de la colaboración entre el Centro Politécnico Superior y el Centro de Educación Especial "Alborada". In: Proc. III Congreso Nacional sobre Universidad y Discapacidad, Zaragoza, Spain.
30. Menéndez-Pidal, X., Polikoff, J.-B., Peters, S.-M., Lorenzo, J., Bunnell, H.-T., 1996. The Nemours database of dysarthric speech. In: Proc. 4th Internat. Conf. on Spoken Language Processing (ICSLP-Interspeech), Philadelphia (PA), USA, pp. 1962-1965.
31. Monfort, M., Juárez-Sánchez, A., 1989. Registro Fonológico Inducido (Tarjetas Gráficas). CEPE, Madrid, Spain.
32. Monfort, M., Monfort-Juárez, I., 2001. En La Mente: Un soporte gráfico para el entrenamiento de las habilidades pragmáticas en el niño. Entha ediciones, Madrid, Spain.
33. Moreno, A., Lindberg, B., Draxler, C., Richard, G., Choukri, K., Euler, S., Allen, J., 2000. Speech Dat Car: a large speech database for automotive environments. In: Proc. II Language Resources European Conference, Athens, Greece, pp. 895-900.
34. Moreno, A., Poch, D., Bonafonte, A., Lleida, E., Llisterri, J., Mariño, J.-B., Nadeu, C., 1993. Albayzín speech database: design of the phonetic corpus. In: Proc. 3th Eur. Conf. on Speech Communication and Technology (Eurospeech-Interspeech), Berlin, Germany, pp. 653-656.
35. Navarro-Mesa, J.-L., Quintana-Morales, P., Pérez-Castellano, I., Yáñez, J.E., 2005. Oral corpus of the project HACRO (Help tool for the confidence of oral utterances). Tech. Rep., Department of Signal and Communications, University of Las Palmas de Gran Canaria.
36. Oester, A.-M., House, D., Protopapas, A., Hatzis, A., 2002. Presentation of a new EU project for speech therapy: OLP (Ortho-Logo-Paedia). In: Proc. XV Swedish Phonetics Conference (Fonetik 2002), Stockholm, Sweden, pp. 45-48.
37. Patel R. Phonatory control in adults with cerebral palsy and severe dysarthria. AAC Augment. Alternat. Comm. 18 (2002) 2-11
38. Pratt S.-R., Heintzelman A.-T., and Deming S.-E. The efficacy of using the IBM Speech Viewer vowel accuracy module to treat young children with hearing impairment. J. Speech Hear. Res. 36 (1993) 1063-1074
39. Rabiner L.-R., and Schafer R.-W. Digital processing of speech signals. Signal Processing Series (1978), Prentice-Hall, Englewood Cliffs, NJ, USA
40. Rodríguez, W.-R., Vaquero, C., Saz, O., Lleida, E., 2008. Speech technology applied to children with speech disorders. In: Proc. 4th Kuala Lumpur Internat. Conf. on Biomedical Engineering, Kuala Lumpur, Malaysia.
41. Rodríguez, V., 2008. El uso de herramientas multimedia para la práctica de la pronunciación en clases de ELE con adolescentes. Enseñanza del Español como Lengua Extranjera, Master Thesis. Department of Applied Languages, University Antonio de Nebrija, Madrid, Spain.
42. Sanders, E., Ruiter, M., Beijer, L., Strik, H., 2002. Automatic recognition of dutch dysarthric speech: a pilot study. In: Proc. 7th Internat. Conf. on Spoken Language Processing (ICSLP-Interspeech), Denver, CO, USA, pp. 661-664.
43. Saz, O., Rodríguez, W.-R., Lleida, E., Vaquero, C., 2008. A novel corpus of children disordered speech. In: Proc. First Workshop on Child, Computer and Interaction, Chania, Greece.
44. Vaquero, C., Saz, O., Lleida, E., Rodríguez, W.-R., 2008. E-inclusion technologies for the speech handicapped. In: Proc. 2008 Internat. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Las Vegas, NV, USA, pp. 4509-4512.
45. Vicsi, K., Roach, P., Oester, A., Kacic, Z., Barczikay, P., Sinka, I., 1999. SPECO: a multimedia multilingual teaching and training system for speech handicapped children. In: Proc. 6th Eur. Conf. on Speech Communication and Technology (Eurospeech-Interspeech), Budapest, Hungary, pp. 859-862.
46. Yin, S.-C., Rose, R.-C., Saz, O., Lleida, E., 2009. A study of pronunciation verification in a speech therapy application. In: Proc. 2009 Internat. Conf. on Acoustics Speech and Signal Processing (ICASSP), Taipei, Taiwan.
47. Zhang, F., Huang, C., Soong, F.K., Chu, M., Wang, R., 2008. Automatic mispronunciation detection for Mandarin. In: Proc. 2008 Internat. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Las Vegas, NV, USA, pp. 5077-5080.