title: A corpus of noise-induced word misperceptions for English.
abstract: Words spoken against a noise background often form an ambiguous percept. However, in certain conditions, a listener will mishear a noisy word but report hearing the same incorrect word as reported by other listeners. These consistent hearing errors are valuable as tests of detailed models of speech perception. This paper describes the collection of a corpus of consistent speech misperceptions for English. The mishearings were elicited using a large scale listening study involving 212 participants and over 300 000 token presentations. The study led to the identification of 3207 consistent misperceptions. For each of these, the corpus records the speech and masker waveforms that generated the error, the set of responses made by the listeners, and phonemic transcriptions of the target word and the response. The corpus is freely available online.
authors.affiliation: Department of Computer Science, University of Sheffield, Sheffield, United Kingdom.
authors.forename: Ricard
authors.initials: R
authors.lastname: Marxer
authors.affiliation: Department of Computer Science, University of Sheffield, Sheffield, United Kingdom.
authors.forename: Jon
authors.initials: J
authors.lastname: Barker
authors.affiliation: Ikerbasque (Basque Science Foundation), Bilbao, Spain.
authors.forename: Martin
authors.initials: M
authors.lastname: Cooke
authors.affiliation: Language and Speech Laboratory, Universidad del Pais Vasco, 01006 Vitoria, Spain r.marxer@sheffield.ac.uk, j.p.barker@sheffield.ac.uk, m.cooke@ikerbasque.org, garcia.lecumberri@ehu.es.
authors.forename: Maria Luisa
authors.initials: ML
authors.lastname: Garcia Lecumberri
mesh_terms: D006801:Humans; D009622:Noise; D013060:Speech; D013067:Speech Perception; D014825:Vocabulary