Lexical Effects on Spoken Word Recognition by Pediatric Cochlear Implant Users

Objective The purposes of this study were 1) to examine the effect of lexical characteristics on the spoken word recognition performance of children who use a multichannel cochlear implant (CI), and 2) to compare their performance on lexically controlled word lists with their performance on a traditional test of word recognition, the PB-K. Design In two different experiments, 14 to 19 pediatric CI users who demonstrated at least some open-set speech recognition served as subjects. Based on computational analyses, word lists were constructed to allow systematic examination of the effects of word frequency, lexical density (i.e., the number of phonemically similar words, or neighbors), and word length. The subjects' performance on these new tests and the PB-K also was compared. Results The percentage of words correctly identified was significantly higher for lexically “easy” words (high frequency words with few neighbors) than for “hard” words (low frequency words with many neighbors), but there was no lexical effect on phoneme recognition scores. Word recognition performance was consistently higher on the lexically controlled lists than on the PB-K. In addition, word recognition was better for multisyllabic than for monosyllabic stimuli. Conclusions These results demonstrate that pediatric cochlear implant users are sensitive to the acoustic-phonetic similarities among words, that they organize words into similarity neighborhoods in long-term memory, and that they use this structural information in recognizing isolated words. The results further suggest that the PB-K underestimates these subjects' spoken word recognition.

[1]  P. Luce.  Neighborhoods of words in the mental lexicon , 1986 .

[2]  David B. Pisoni,et al.  Speech perception, word recognition and the structure of the lexicon , 1985, Speech Commun..

[3]  S. Goldinger,et al.  Priming Lexical Neighbors of Spoken Words: Effects of Competition and Inhibition. , 1989, Journal of memory and language.

[4]  M. J. Osberger,et al.  Independent Evaluation of the Speech Perception Abilities of Children with the Nucleus 22‐Channel Cochlear Implant System , 1991, Ear and hearing.

[5]  D. Dale.  Language Development in Deaf and Partially Hearing Children , 1975 .

[6]  Dennis H. Klatt,et al.  Speech perception: a model of acoustic–phonetic analysis and lexical access , 1979 .

[7]  P. Luce,et al.  Retroactive influence of syllable neighborhoods , 1991 .

[8]  J V TOBIAS.  ON PHONEMIC ANALYSIS OF SPEECH DISCRIMINATION TESTS. , 1964, Journal of speech and hearing research.

[9]  D Ling,et al.  Early speech development in deaf infants. , 1970, American annals of the deaf.

[10]  N I Durlach,et al.  Speaking clearly for the hard of hearing I: Intelligibility differences between clear and conversational speech. , 1985, Journal of speech and hearing research.

[11]  J. D. Hood,et al.  Influence of the speaker and other factors affecting speech intelligibility. , 1980, Audiology : official organ of the International Society of Audiology.

[12]  G. Altmann,et al.  Cognitive Models of Speech Processing: Psycholinguistic and Computational Perspectives - Workshop Overview , 1989, AI Mag..

[13]  L. L. Elliott,et al.  Word frequency effects for a closed-set word identification task. , 1983, Audiology : official organ of the International Society of Audiology.

[14]  David B. Pisoni,et al.  CHAPTER 1 – Speech Perception: Research, Theory, and the Principal Issues* , 1986 .

[15]  J. Jenkins,et al.  Studies in the Psychological Correlates of the Sound System of American English , 1964 .

[16]  J. Gilbert.  Speech Perception in Children , 1975 .

[17]  S. S. Stevens,et al.  The development of recorded auditory tests for measuring hearing loss for speech , 1947, The Laryngoscope.

[18]  H. Kucera,et al.  Computational analysis of present-day American English , 1967 .

[19]  R. Carhart,et al.  PROBLEMS IN THE MEASUREMENT OF SPEECH DISCRIMINATION. , 1965, Archives of otolaryngology.

[20]  B J Gantz,et al.  Performance over time of congenitally deaf and postlingually deafened children using a multichannel cochlear implant. , 1992, Journal of speech and hearing research.

[21]  P. Luce,et al.  Similarity neighborhoods of spoken two-syllable words: retroactive effects on multiple activation. , 1990, Journal of Experimental Psychology: Human Perception and Performance.

[22]  M. J. Osberger,et al.  Longitudinal evaluation of communication skills of children with single- or multichannel cochlear implants. , 1992, The American journal of otology.

[23]  S. Staller,et al.  Pediatric performance with the Nucleus 22-channel cochlear implant system. , 1991, The American journal of otology.

[24]  T E WALSH,et al.  Speech Audiometry , 1953, Journal of Laryngology and Otology.

[25]  M. J. Osberger,et al.  Variables affecting implant performance in children , 1994, The Laryngoscope.

[26]  Paul A. Luce,et al.  Neighborhoods of Words in the Mental Lexicon. Research on Speech Perception. Technical Report No. 6. , 1986 .

[27]  M. J. Osberger,et al.  Effect of Age at Onset of Deafness on Children's Speech Perception Abilities with a Cochlear Implant , 1991, The Annals of otology, rhinology, and laryngology.

[28]  S. Andrews.  Frequency and neighborhood effects on lexical access: Activation or search? , 1989 .

[29]  M. Treisman.  A Theory of the Identification of Complex Stimuli with an Application to Word Recognition. , 1978 .

[30]  H. Nusbaum.  Sizing up the Hoosier Mental Lexicon: Measuring the Familiarity of 20,000 Words, Research on Speech Perception , 1984 .

[31]  Deborah Hayes,et al.  Handbook of Clinical Audiology (4th ed.) , 1994 .

[32]  M. J. Osberger,et al.  Prelingually deafened children's performance with the nucleus multichannel cochlear implant. , 1993, The American journal of otology.

[33]  S. Waltzman,et al.  Use of a multichannel cochlear implant in the congenitally and prelingually deaf population , 1992, The Laryngoscope.

[34]  David B. Pisoni,et al.  Spoken word recognition: Research and theory. , 1994 .

[35]  R C Dowell,et al.  Perceptual Abilities of Children with the Nucleus 22‐Channel Cochlear Implant , 1991, Ear and hearing.

[36]  C Snow,et al.  Child language data exchange system , 1984, Journal of Child Language.

[37]  R. Brown,et al.  A First Language , 1973 .

[38]  P. Luce,et al.  Similarity neighbourhoods of words in young children's lexicons , 1990, Journal of Child Language.

[39]  I. Hirsh,et al.  Development of materials for speech audiometry. , 1952, The Journal of speech and hearing disorders.

[40]  T. Landauer,et al.  Structural differences between common and rare words: Failure of equivalence assumptions for theories of word recognition , 1973 .

[41]  Amanda C. Walley,et al.  The Role of Vocabulary Development in Children′s Spoken Word Recognition and Segmentation Ability , 1993 .

[42]  H J McDermott,et al.  Perceptual Performance of Subjects with Cochlear Implants Using the Spectral Maxima Sound Processor (SMSP) and the Mini Speech Processor (MSP) , 1993, Ear and hearing.

[43]  David B. Pisoni,et al.  Similarity neighborhoods of spoken words , 1991 .

[44]  Michel Treisman,et al.  Space or lexicon? The word frequency effect and the error response frequency effect , 1978 .

[45]  W. Marslen-Wilson.  Functional parallelism in spoken word-recognition , 1987, Cognition.

[46]  Gerry Altmann,et al.  Cognitive Models of Speech Processing: Psycholinguistic and Computational Perspectives - Workshop Overview , 1989, AI Mag..

[47]  M. Skinner,et al.  Performance of postlinguistically deaf adults with the Wearable Speech Processor (WSP III) and Mini Speech Processor (MSP) of the Nucleus Multi-Electrode Cochlear Implant. , 1991, Ear and hearing.