Language Effects in Noise-Induced Word Misperceptions

نویسندگان

  • Maria Luisa García Lecumberri
  • Jon Barker
  • Ricard Marxer
  • Martin Cooke
چکیده

Speech misperceptions provide a window into the processes underlying spoken language comprehension. One approach shown to catalyse robust misperceptions is to embed words in noise. However, the use of masking noise makes it difficult to measure the relative contributions of low-level auditory processing and higher-level factors which involve the deployment of linguistic experience. The current study addresses this confound by comparing noise-induced misperceptions in two languages, Spanish and English, which display marked phonological differences in properties such as consonant-vowel ratio, rhythm and syllable structure. An analysis of over 5000 word-level misperceptions generated using a common experimental framework in the two languages reveals some striking similarities: the proportion of confusions generated by three distinct types of masker are almost identical for the two languages, as are the proportions of phonemic and syllabic insertions, deletions and substitutions. The biggest difference is seen for babble noise, which tends to induce relatively complex confusions in English and simpler confusions in Spanish. We speculate that the inflectional morphology of Spanish lends itself to more easily recruit single elements from a babble masker into valid word hypotheses.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A corpus of noise-induced word misperceptions for Spanish.

Word misperceptions are valuable in designing and evaluating detailed computational models of speech perception, especially when a number of listeners agree on the misperceived word. The current paper describes the elicitation of a corpus of Spanish word misperceptions induced by different types of noise. Stimuli were presented using an adaptive procedure designed to promote the rapid discovery...

متن کامل

Elicitation and analysis of a corpus of robust noise-induced word misperceptions in Spanish

Slips of the ear are of great relevance in the study of how listeners process speech. Our interest in speech misperceptions comes from their value as diagnostic stimuli in evaluating computational models of speech perception in noise. Previous corpora of misperceptions have largely been recorded based on reports of isolated occurrences ‘in the wild’, and consequently are not available for furth...

متن کامل

A corpus of noise-induced word misperceptions for English.

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 f...

متن کامل

Collecting a corpus of Dutch noise-induced 'slips of the ear'

When trying to understand how listeners recognise words, listeners’ misperceptions, so-called ‘slips of the ear’, can reveal important aspects of the underlying mechanisms of normal word recognition. Such misperceptions shed light onto how inferences are made by listeners about acoustic details in the speech signal and how these interact with other sound sources in the background. On the other ...

متن کامل

Discovering consistent word confusions in noise

Listeners make mistakes when communicating under adverse conditions, with overall error rates reasonably well-predicted by existing speech intelligibility metrics. However, a detailed examination of confusions made by a majority of listeners is more likely to provide insights into processes of normal word recognition. The current study measured the rate at which robust misperceptions occurred f...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016