Long-term memory for unfamiliar voices.

From a sample of young male Californians, ten speakers were selected whose voices were approximately normally distributed with respect to the "easy-to-remember" versus "hard-to-remember" judgments of a group of raters. A separate group of listeners each heard one of the voices, and, after delays of 1, 2, or 4 weeks, tried to identify the voice they had heard, using an open-set, independent-judgment task. Distributions of the results did not differ from the distributions expected under the hypothesis of independent judgments. For both "heard previously" and "not heard previously" responses, there was a trend toward increasing accuracy as a function of increasing listener certainty. Overall, heard previously responses were less accurate than not heard previously responses. For heard previously responses, there was a trend toward decreasing accuracy as a function of delay between hearing a voice and trying to identify it. Information-theoretic analysis showed loss of information as a function of delay and provided means to quantify the effects of patterns of voice confusability. Signal-detection analysis revealed the similarity of results from diverse experimental paradigms. A "prototype" model is advanced to explain the fact that certain voices are preferentially selected as having been heard previously. The model also unites several previously unconnected findings in the literature on voice recognition and makes testable predictions.

[1]  Brian R. Clifford,et al.  Voice identification by human listeners: On earwitness reliability , 1980 .

[2]  Nathaniel Schenker,et al.  Qualms about Bootstrap Confidence Intervals , 1985 .

[3]  D. O'Shaughnessy,et al.  Speaker recognition , 1986, IEEE ASSP Magazine.

[4]  D. M. Green,et al.  The effect of vocabulary size on articulation score , 1958 .

[5]  D. Lancker,et al.  Voice discrimination and recognition are separate abilities , 1987, Neuropsychologia.

[6]  R. Meddis.  Statistics Using Ranks: A Unified Approach , 1984 .

[7]  J. Bransford,et al.  Abstraction of visual patterns. , 1971, Journal of experimental psychology.

[8]  Stephen K. Reed,et al.  Pattern recognition and categorization , 1972 .

[9]  John A. Swets,et al.  Evaluation of diagnostic systems : methods from signal detection theory , 1982 .

[10]  Edward C. Carterette,et al.  Recognition Memory for Voices , 1975 .

[11]  M. Posner,et al.  Retention of Abstract Ideas. , 1970 .

[12]  Selby H. Evans,et al.  A brief statement of schema theory , 1967 .

[13]  A. Yarmey,et al.  Long-term auditory memory: speaker identification. , 1980, The Journal of applied psychology.

[14]  D. Homa.  Prototype abstraction and classification of new instances as a function of number of instances defining the prototype , 1973 .

[15]  Wayne D. Gray,et al.  Basic objects in natural categories , 1976, Cognitive Psychology.

[16]  B. Efron.  Computers and the Theory of Statistics: Thinking the Unthinkable , 1979 .

[17]  D. Homa,et al.  Category Breadth and the Abstraction of Prototypical Information. , 1976 .

[18]  John D. Bransford,et al.  The abstraction of linguistic ideas , 1971 .

[19]  C. Thompson.  A language effect in voice identification , 1987 .

[20]  Kathleen Dahlgren,et al.  The Cognitive Structure of Social Categories , 1985, Cogn. Sci..

[21]  Alvin G. Goldstein,et al.  Recognition memory for accented and unaccented voices , 1981 .

[22]  G. W. Snedecor.  Statistical Methods , 1964 .

[23]  Harry Hollien,et al.  Perceptual identification of voices under normal, stress, and disguised speaking conditions , 1974 .

[24]  J. Jenkins,et al.  Abstraction over time of prototypes from distortions of random dot patterns: A replication , 1970 .

[25]  L. H. C. Tippett,et al.  ON THE EXTREME INDIVIDUALS AND THE RANGE OF SAMPLES TAKEN FROM A NORMAL POPULATION , 1925 .

[26]  Mark Haggard,et al.  Perceptual and memory factors in simulated machine-aided speaker verification , 1979 .

[27]  A. Tversky.  Features of Similarity , 1977 .

[28]  S. Pruzansky,et al.  Effects of stimulus content and duration on talker identification. , 1966, The Journal of the Acoustical Society of America.

[29]  André Rigault,et al.  Sources of Inter- and Intra-Speaker Variability in the Acoustic Properties of Speech Sounds , 1972 .

[30]  D. Homa,et al.  Limitations of exemplar-based generalization and the abstraction of categorical information. , 1981 .

[31]  M. Posner,et al.  On the genesis of abstract ideas. , 1968, Journal of experimental psychology.

[32]  F. McGehee.  An Experimental Study of Voice Recognition , 1944 .

[33]  Selby H. Evans,et al.  Schematic concept formation: Demonstration in a free sorting task , 1967 .

[34]  P. Diaconis,et al.  Computer-Intensive Methods in Statistics , 1983 .

[35]  F. Hayes-Roth,et al.  Concept learning and the recognition and classification of exemplars , 1977 .

[36]  D. Homa,et al.  Integrative and metric properties of abstracted information as a function of category discriminability, instance variability, and experience. , 1977 .

[37]  Gordon E. Legge,et al.  Learning unfamiliar voices , 1984 .

[38]  D. Dorfman,et al.  Maximum-likelihood estimation of parameters of signal-detection theory and determination of confidence intervals—Rating-method data , 1969 .

[39]  A. Rosenberg,et al.  Listener performance in speaker verification tasks , 1973 .

[40]  F. Attneave.  Applications of information theory to psychology: A summary of basic concepts, methods, and results. , 1961 .

[41]  James L. McClelland,et al.  Distributed memory and the representation of general and specific information. , 1985, Journal of experimental psychology. General.

[42]  F. McGehee.  The Reliability of the Identification of the Human Voice , 1937 .

[43]  B. Clifford,et al.  The effects of delay on voice recognition accuracy , 1981 .

[44]  G. Box.  Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems, I. Effect of Inequality of Variance in the One-Way Classification , 1954 .

[45]  F. Attneave,et al.  Transfer of experience with a class-schema to identification-learning of patterns and shapes. , 1957, Journal of experimental psychology.