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This paper describes the Buckeye corpus of spontaneous American English speech, a 307,000-word corpus containing the speech of 40 talkers from central Ohio, USA. The method used to elicit and record the speech is described, followed by a description of the protocol that was developed to phonemically label what talkers said. The results of a test of labeling(More)
The question of how one should decide among competing explanations of data is at the heart of the scientific enterprise. Computational models of cognition are increasingly being advanced as explanations of behavior. The success of this line of inquiry depends on the development of robust methods to guide the evaluation and selection of these models. This(More)
Speech is produced over time, and this makes sensitivity to timing between speech events crucial for understanding language. Two experiments investigated whether perception of function words (e.g., or, are) is rate dependent in casual speech, which often contains phonetic segments that are spectrally quite reduced. In Experiment 1, talkers spoke sentences(More)
A difficulty in the development and testing of psychological models is that they are typically evaluated solely on their ability to fit experimental data, with little consideration given to their ability to fit other possible data patterns. By examining how well model A fits data generated by model B, and vice versa (a technique that we call landscaping),(More)
We present a preliminary analysis of transcriber consistency in labeling and segmentation of words and phones in the Buckeye corpus of spontaneous, informal speech. We find that pairwise inter-transcriber agreement on exact phone label match was 76%, and segmentation agreement within 20% of phone pair length was 75%, though longer phones are more(More)
Regressive place assimilation is a form of pronunciation variation in which a word-final alveolar sound takes the place of articulation of a following labial or velar sound, as when green boat is pronounced greem boat. How listeners recover the intended word (e.g., green, given greem) has been a major focus of spoken word recognition theories. However, the(More)
Many models of spoken word recognition posit the existence of lexical and sublexical representations, with excitatory and inhibitory mechanisms used to affect the activation levels of such representations. Bottom-up evidence provides excitatory input, and inhibition from phonetically similar representations leads to lexical competition. In such a system,(More)
The phonological priming paradigm, in which participants respond to the second of 2 consecutively presented spoken words, has the potential to be a useful tool with which to study lexical processing. Concerns about response biases distorting the results have persisted since its introduction. This study explored the manifestation of biases by modifying the(More)
A primary criterion on which models of cognition are evaluated is their ability to fit empirical data. To understand the reason why a model yields a good or poor fit, it is necessary to determine the data-fitting potential (i.e., flexibility) of the model. In the first part of this article, methods for comparing models and studying their flexibility are(More)
Vitevitch and Luce (1998) showed that the probability with which phonemes co-occur in the language (phonotactic probability) affects the speed with which words and nonwords are named. Words with high phonotactic probabilities between phonemes were named more slowly than words with low probabilities, whereas with nonwords, just the opposite was found. To(More)