title: Automatic analysis of slips of the tongue: Insights into the cognitive architecture of speech production.
abstract: Traces of the cognitive mechanisms underlying speaking can be found within subtle variations in how we pronounce sounds. While speech errors have traditionally been seen as categorical substitutions of one sound for another, acoustic/articulatory analyses show they partially reflect the intended sound. When "pig" is mispronounced as "big," the resulting /b/ sound differs from correct productions of "big," moving towards intended "pig"-revealing the role of graded sound representations in speech production. Investigating the origins of such phenomena requires detailed estimation of speech sound distributions; this has been hampered by reliance on subjective, labor-intensive manual annotation. Computational methods can address these issues by providing for objective, automatic measurements. We develop a novel high-precision computational approach, based on a set of machine learning algorithms, for measurement of elicited speech. The algorithms are trained on existing manually labeled data to detect and locate linguistically relevant acoustic properties with high accuracy. Our approach is robust, is designed to handle mis-productions, and overall matches the performance of expert coders. It allows us to analyze a very large dataset of speech errors (containing far more errors than the total in the existing literature), illuminating properties of speech sound distributions previously impossible to reliably observe. We argue that this provides novel evidence that two sources both contribute to deviations in speech errors: planning processes specifying the targets of articulation and articulatory processes specifying the motor movements that execute this plan. These findings illustrate how a much richer picture of speech provides an opportunity to gain novel insights into language processing.
authors.affiliation: Department of Linguistics, Northwestern University, USA. Electronic address: matt-goldrick@northwestern.edu.
authors.forename: Matthew
authors.initials: M
authors.lastname: Goldrick
authors.affiliation: Department of Computer Science, Bar-Ilan University, Israel. Electronic address: joseph.keshet@biu.ac.il.
authors.forename: Joseph
authors.initials: J
authors.lastname: Keshet
authors.affiliation: Department of Linguistics, Northwestern University, USA.
authors.forename: Erin
authors.initials: E
authors.lastname: Gustafson
authors.affiliation: Department of Linguistics, Northwestern University, USA.
authors.forename: Jordana
authors.initials: J
authors.lastname: Heller
authors.affiliation: Department of Linguistics, Northwestern University, USA.
authors.forename: Jeremy
authors.initials: J
authors.lastname: Needle
mesh_terms: D003071:Cognition; D005260:Female; D006801:Humans; D000069550:Machine Learning; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods*; D010700:Phonetics; D012815:Signal Processing, Computer-Assisted; D013060:Speech; D013061:Speech Acoustics
keywords: Automatic phonetic analysis; Machine learning; Speech errors; Speech production; Structured prediction