Discovering consistent word confusions in noise
نویسنده
چکیده
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 for highly-confusable words embedded in noise. In a second experiment, confusions discovered in the first listening test were subjected to a range of manipulations designed to help identify their cause. These experiments reveal that while majority confusions are quite rare, they occur sufficiently often to make large-scale discovery worthwhile. Surprisingly few misperceptions were due solely to energetic masking by the noise, suggesting that speech and noise “react” in complex ways which are not well-described by traditional masking concepts.
منابع مشابه
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 کاملUndoing Misperceptions: A Microscopic Analysis of Consistent Confusions Through Signal Modifications
Consistent confusions — word misperceptions reported in an open set task with a high agreement across listeners — can be especially valuable in understanding the detailed processes underlying speech perception. The current study investigates the origin of a set of consistent confusions collected in a variety of masking conditions, by applying signal-level modifications to the stimuli eliciting ...
متن کاملAnalysis of English Nonsense Syllable Recognition in Noise
English nonsense consonant-vowel-consonant syllables were presented at four different signal-to-noise ratios for recognition. Information theory methods are used to analyze the response data according to segment type and phonological feature, and are consistent with previous studies showing that the consonantal contrast of voicing is more robust than place of articulation, word-initial consonan...
متن کاملLanguage Effects in Noise-Induced Word Misperceptions
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 ...
متن کاملCrowdsourcing for Word Recognition in Noise
Access to large samples of listeners is an appealing prospect for speech perception researchers, but lack of control over key factors such as listeners’ linguistic backgrounds and quality of stimulus delivery is a formidable barrier to the application of crowdsourcing. We describe the outcome of a web-based listening experiment designed to discover consistent confusions amongst words presented ...
متن کامل