Efficiency of the energy contained in modulators in the Arabic vowels recognition

<span>The speech signal is described as many acoustic properties that may contribute differently to spoken word recognition. Vowel characterization is an important process of studying the acoustic characteristics or behaviors of speech within different contexts. This current study focuses on the modulators characteristics of three Arabic vowels, we proposed a new approach to characterize the three Arabic vowels /a/, /i/ and /u/. The proposed method is based on the energy contained in the speech modulators. The coherent subband demodulation method related to the spectral center of gravity (COG) was used to calculate the energy of the speech modulators. The obtained results showed that the modulators energy help characterize the Arabic vowels /a/, /i/ and /u/ with an interesting recognition rate ranging from 86% to 100%.</span>

Download Full-text

Perception, Processing and Storage of Subphonemic and Extralinguistic Features in Spoken Word Recognition - An Argument from Language Variation and Change

Psychology of Language and Communication ◽

10.2478/v10057-012-0001-0 ◽

2012 ◽

Vol 16 (1) ◽

pp. 1-19 ◽

Cited By ~ 1

Author(s):

Elżbieta Łukasiewicz

Keyword(s):

Speech Perception ◽

Word Recognition ◽

Speech Signal ◽

Spoken Word Recognition ◽

Language Variation ◽

Spoken Word ◽

Traditional View ◽

Language Variation And Change ◽

Processing And Storage ◽

And Storage

Perception, Processing and Storage of Subphonemic and Extralinguistic Features in Spoken Word Recognition - An Argument from Language Variation and ChangeRecent research on speech perception and word recognition has shown that fine-grained sub-phonemic as well as speaker- and episode-specific characteristics of a speech signal are integrally connected with segmental (phonemic) information; they are all most probably processed in a non-distinct manner, and stored in the lexical memory. This view contrasts with the traditional approach holding that we operate on abstract phonemic representations extracted from a particular acoustic signal, without the need to process and store the multitude of its individual features. In the paper, I want to show that this turn towards the "particulars" of a speech event was in fact quite predictable, and the so-called traditional view would most probably have never been formulated if studies on language variation and language change-in-progress had been taken into account when constructing models of speech perception. In part one, I discuss briefly the traditional view ("abstract representations only"), its theoretical background, and outline some problems, internal to the speech perception theory, that the traditional view encounters. Part two will demonstrate that what we know about the implementation of sound changes has long made it possible to answer, once and for all, the question of integrated processing and storage of extralinguistic, phonemic and subphonemic characteristics of the speech signal.

Download Full-text

Neuronal spoken word recognition: The time course of processing variation in the speech signal

Language and Cognitive Processes ◽

10.1080/01690965.2010.503532 ◽

2012 ◽

Vol 27 (2) ◽

pp. 159-183 ◽

Cited By ~ 9

Author(s):

Ulrike Schild ◽

Brigitte Röder ◽

Claudia K. Friedrich

Keyword(s):

Word Recognition ◽

Speech Signal ◽

Time Course ◽

Spoken Word Recognition ◽

Spoken Word

Download Full-text

Eight questions about spoken word recognition

The Oxford Handbook of Psycholinguistics ◽

10.1093/oxfordhb/9780198568971.013.0003 ◽

2007 ◽

pp. 36-54 ◽

Cited By ~ 10

Author(s):

James M. McQueen

Keyword(s):

Word Recognition ◽

Language Comprehension ◽

Speech Signal ◽

Spoken Word Recognition ◽

Spoken Word ◽

Current Evidence ◽

Speech Stream ◽

Fine Grained ◽

Phonological Form ◽

Comprehension Process

Since word recognition is at the heart of the language-comprehension process, it has also always been a central topic in psycholinguistics. This article reviews current evidence on spoken word recognition, focusing on what is assumed to be the key aspect of the process: the way in which the listener derives from a spoken utterance a satisfactory lexical parse. The assumption is that this process entails abstraction, that is, a type of decoding in which the specific acoustic realisation of any given utterance is mapped onto store knowledge about the phonological form of individual words. To begin, what information in the speech signal is used in word recognition? Where are the words in the continuous speech stream? Which words did the speaker intend? When are the phonological forms of words recognised: How are words recognised? Whither spoken word recognition? The review of uptake of fine-grained segmental and suprasegmental information made clear that the speech signal is not just a sequence of phonemes.

Download Full-text

Pupillometry reveals cognitive demands of lexical competition during spoken word recognition in young and older adults

10.31234/osf.io/6pa3g ◽

2021 ◽

Author(s):

Drew Jordan McLaughlin ◽

Maggie Zink ◽

Lauren Gaunt ◽

Brent Spehar ◽

Kristin J. Van Engen ◽

...

Keyword(s):

Older Adults ◽

Young Adults ◽

Word Recognition ◽

Cognitive Processing ◽

Spoken Word Recognition ◽

Spoken Word ◽

Neighborhood Density ◽

Acoustic Properties ◽

Processing Load ◽

Cognitive Demands

In most contemporary activation-competition frameworks for spoken word recognition, candidate words compete against phonological “neighbors” with similar acoustic properties (e.g., “cap” vs. “cat”). Thus, processing words with more competitors should come at a greater cognitive cost than processing words with fewer competitors, due to increased demands for selecting the correct item and inhibiting incorrect candidates. Importantly, these processes should operate even in the absence of differences in accuracy. In the present study, we tested this proposal by examining differences in processing costs associated with neighborhood density for highly intelligible items presented in the absence of noise. A second goal was to examine whether the cognitive demands associated with increased neighborhood density were greater for older adults compared with young adults. Using pupillometry as an index of cognitive processing load, we compared the cognitive demands associated with spoken word recognition for words from dense and sparse neighborhoods, presented in quiet, for young (n = 67) and older (n = 69) adult listeners. Growth curve analysis of the pupil data indicated that older adults showed a greater evoked pupil response for spoken words than do young adults, consistent with increased cognitive load during spoken word recognition. Words from dense neighborhoods were marginally more demanding to process than words from sparse neighborhoods. There was also an interaction between age and neighborhood density, indicating larger effects of density in young adult listeners. These results highlight the importance of assessing both cognitive demands and accuracy when investigating the mechanisms underlying spoken word recognition.

Download Full-text