Mary Beth Rosson
Abstract
The specificity of the adaptation to synthetic speech known to occur with practice was examined by giving listeners selective exposure to a subset of English phonemes (a control group was “trained” on analogous materials produced by a human speaker), and then testing their ability to identify words created from both the previously heard and novel phonemes. The results indicated that while synthetic voice training was generally facilitative, it was most helpful in the identification of the sounds heard before. However, this specific learning effect occured for only certain phonemes. The findings imply that one way to maximize early adaptation to synthetic speech is to identify the “learnable” sounds, and to increase users' exposure to them during introductory or training dialogs.
- Allen, J. Linguistic-based algorithms offer practical text-to-speech systems. Speech Technology, 1981, 1, 12-16.Google Scholar
- Colby, K.M., Christinaz, D., and Graham, S. A computer-driven, personal, portable, and intelligent speech prosthesis. Computers and Biomedical Research, 1978, 11,337-343.Google ScholarCross Ref
- Klavans, J., Nartey, J., Pickover, C., Reich, D., Rosson, M.B., and Thomas, J. WALRUS: High quality text-to-speech research system. Proceedings of the iEEE/Communication Society New York Meeting, May 3, 1984.Google Scholar
- Kooi, R. and Lin, W.C. An on-line minicomputerbased system for reading printed text aloud. IEEE Transactions of Systems, Man, and Cybernetics, 1978, SMC-8, 57-62.Google Scholar
- McGarr, N.S. The effect of context on the intelligibility of hearing and deaf children's speech. Language and Speech, 1981, 24, 255-264.Google ScholarCross Ref
- Monsen, R.B. The oral speech intelligibility of hearing-impaired talkers. Journal of Speech and Hearing Disorders, 1983, 48, 286-296.Google ScholarCross Ref
- Pisoni, D.B. Perception of speech: The human listener as a cognitive interface. Speech Technology, 1982, 1, 10-23.Google Scholar
- Pisoni, D.B. and Hunnicutt, S. Perceptual evaluation of MITalk: The MIT unrestricted text-tospeech system. Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, 1980, 572-575.Google ScholarCross Ref
- Puckorius, T.D. Illinois' talking computer. Telephony, 1978, 195, 30-32.Google Scholar
- Reich, D. An automated telephone book using synthetic speech. IBM Research Report RC 9958, Watson Research Center, Yorktown Heights, New York, 1983.Google Scholar
- Schwab, E.C., Nusbaum, H.C., and Pisoni, D.B. Some effects of training on the perception of synthetic speech. Unpublished paper, 1983.Google Scholar
- Tobias, J.V. and Irons, F.M. Reception of distorted speech. FAA Report FAA-AM,.73-13, FAA Civil Aeromedical Institute, Oklahoma City, OK, 1973.Google Scholar
Index Terms
- Listener training for speech-output applications
Recommendations
Listener training for speech-output applications
CHI '85: Proceedings of the SIGCHI Conference on Human Factors in Computing SystemsThe specificity of the adaptation to synthetic speech known to occur with practice was examined by giving listeners selective exposure to a subset of English phonemes (a control group was “trained” on analogous materials produced by a human speaker), ...
Listener impressions of foreigner-directed speech: A systematic review
AbstractNon-native speakers of a particular language face communicative challenges when interacting with native speakers in everyday life. A strategy frequently employed by native speakers to ensure smooth communication is speech accommodation ...
Speech-Input Speech-Output Communication for Dysarthric Speakers Using HMM-Based Speech Recognition and Adaptive Synthesis System
Dysarthria is a motor speech disorder that causes inability to control and coordinate one or more articulators. This makes it difficult for a dysarthric speaker to utter certain speech sound units, thereby producing poorly articulated, slurred, and ...
Comments