Lexical boosting of noise-band speech in open- and closed-set formats

Speech Communication

Volumn 47, Issue 4, 2005, Pages 424-435

  Trout, J D ^a  

^a LOYOLA UNIVERSITY CHICAGO   (United States)

Author keywords

Lexical boosting; Monosyllables; Noise band speech; Open and closed set task; Spoken word recognition

Indexed keywords

AMPLITUDE MODULATION; BANDPASS FILTERS;

LEXICAL BOOSTING; MONOSYLLABLES; NOISE-BAND SPEECH;

SPEECH COMMUNICATION;

EID: 27644515201     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.specom.2005.04.011     Document Type: Article

References (31)

1. J.A. Bashford, R.M. Warren, and C.A. Brown Use of speech-modulated noise adds strong "bottom-up" cues for phonemic restoration Percept. Psychophys. 58 1996 342 350
2. A. Bradlow, and D. Pisoni Recognition of spoken words by native and non-native listeners: talk-, listener-, and item-related factors J. Acoust. Soc. Amer. 106 1999 2074 2085
3. J. Cohen Statistical power analysis for the behavioral sciences second ed. 1988 Hillsdale, NJ Lawrence Erlbaum Associates
4. D.D. Dirks, S. Takayanagi, A. Moshfegh, P.D. Noffsinger, and S.A. Fausti Examination of the neighborhood activation theory in normal and hearing-impaired listeners Ear Hearing 22 2001 1 13
5. M. Dorman, and P. Loizou Identification of consonants and vowels by cochlear-implant patients using a 6-channel continuous interleaved sample processor and by normal-hearing subjects using simulations processors with two to nine channels Ear Hearing 19 1998 162 166
6. M. Dorman, P. Loizou, and D. Rainey Speech intelligibility as a function of the number of channels of stimulation for signal processors using sine-wave and noise-band outputs J. Acoust. Soc. Amer. 102 1997 2403 2411
7. M. Dorman, P. Loizou, J. Fitzke, and Z. Tu The recognition of NU-6 words by cochlear implant patients and by normal-hearing subjects listening to NU-6 words processed in the manner of CIS and SPEAK strategies Ann. Otol. Rhinol. Laryngol. 109 Suppl. 185 2000 64 66
8. M. Dorman, P. Loizou, L. Kemp, and K. Kirk Word recognition by children listening to speech processed into a small number of channels: Data from normal-hearing children and children with cochlear implants Ear Hearing 21 2000 590 596
9. K. Fishman, R.V. Shannon, and W.H. Slattery Speech recognition as a function of the number of electrodes used in the SPEAK cochlear implant speech processor J. Speech Hearing Res. 40 1997 1201 1215
10. K.I. Forster Accessing the mental lexicon R.J. Wales E. Walker New approaches to language mechanisms 1976 North Holland Amsterdam
11. K.I. Forster Levels of processing and the structure of the language processor W.E. Cooper E.C.T. Walker Sentence processing: psycholinguistic studies presented to Merrill Garrett 1979 Erlbaum Hillsdale, NJ
12. L. Friesen, R. Shannon, D. Baskent, and X. Wang Speech recognition in noise as a function of the number of spectral channels: comparison of acoustic hearing and cochlear implants J. Acoust. Soc. Amer. 110 2 2001 1150 1163
13. F. Kucera, and W. Francis Computational analysis of present-day American English 1967 Brown University Press Providence, RI
14. P. Loizou, M. Dorman, and Z. Tu On the number of channels needed to understand speech J. Acoust. Soc. Amer. 106 1999 2097 2103
15. P. Luce A computational analysis of uniqueness points in auditory word recognition Percept. Psychophys. 39 1986 155 158
16. P. Luce, and D. Pisoni Recognizing spoken words: the neighborhood activation model Ear Hearing 19 1998 1 36
17. W.D. Marslen-Wilson, and A. Welch Processing interactions and lexical access during word recognition in continuous speech Cognit. Psychol. 10 1978 29 63
18. Nusbaum, H.C., Pisoni, D.B., Davis, C.K., 1984. Sizing up the Hoosier mental lexicon: measuring the familiarity of 20,000 words. In: Research on Speech Perception Progress Report No. 10. Speech Research Laboratory, Indiana University, Bloomington, IN, pp. 357-376.
19. K.R. Paap, S.L. Newsome, J.E. McDonald, and R.W. Schvaneveldt An activation-verification model for letter and word recognition: the word superiority effect Psychol. Rev. 89 1982 573 594
20. D.B. Pisoni Speech perception in deaf children with cochlear implants D.B. Pisoni R.E. Remez Handbook of Speech Perception 2005 Blackwell Publishers 494 523
21. D.B. Pisoni, M. Cleary, A.E. Geers, and E.A. Tobey Individual differences in effectiveness of cochlear implants in prelingually deaf children: Some new process measures of performance Volta Review 101 2000 111 164
22. R. Remez, P. Rubin, D. Pisoni, and T. Carrell Speech perception without traditional speech cues Science 212 1981 947 950
23. A.G. Samuel Lexical uniqueness effects on phonemic restoration J. Memory Language 26 1987 36 56
24. M. Schroeder Reference signal for signal quality studies J. Acoust. Soc. Amer. 44 1968 1735 1736
25. R. Shannon, F. Zeng, V. Kamath, J. Wygonski, and M. Ekelid Speech recognition with primarily temporal cues Science 270 1995 303 304
26. M. Sommers, K. Kirk, and D. Pisoni Some considerations in evaluating spoken word recognition by normal-hearing, noise-masked normal-hearing, and cochlear implant listeners. I. The effects of response format Ear Hearing 18 1997 89 99
27. Torretta, G.M., 1995. The easy-hard word multi-talker speech database: an initial report. In: Research on Spoken Language Processing, Progress Report No. 20. Speech Research Laboratory, Indiana University, Bloomington, IN, pp. 321-334.
28. J.D. Trout, and W.J. Poser Auditory and visual influences on phonemic restoration Language Speech 33 1990 121 135
29. R. Van der Horst, A.R. Leeuw, and W.A. Dreschler Importance of temporal-envelope cues in consonant recognition J. Acoust. Soc. Amer. 105 1999 1801 1809
30. D. Van Tasell, S.D. Soli, V.M. Kirby, and G.P. Widin Speech waveform envelope cues for consonant recognition J. Acoust. Soc. Amer. 82 1987 1152 1161
31. D.J. van Tasell, D.G. Greenfield, J.J. Logemann, and D.A. Nelson Temporal cues for consonant recognition: training, talker generalization, and use in evaluation of cochlear implants J. Acoust. Soc. Amer. 92 1992 1247 1257