Auditory Word Recognition

15 important questions on Auditory Word Recognition

Air stream via noise

  • Nasal: m, n
  • Oral: b, d, g

Problems for listener: continuous-to-discrete mapping

No pauses between words, phonemes are overlapping (



assimilation, co-articulation:‘tandpasta’ --> tampasta)

Problems for listener: one-to-many mapping

Speech is ambiguous/dubbelzinnig (words within words: ice in paradise)
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Initial contact (speech recognition -> word recognition)

The speech signals contacts the mental lexicon

Selection (speech recognition -> word recognition)

Words in the lexicon are 'activated' to different edges
  • Uniqueness point: the point at which the word starts to deviate from other words in the lexicon
  • Isolation point: one word candidate is left in the cohort
  • Recognition point: word is recognized

Lexical access (speech recognition -> word recognition)

information from the mental lexicon becomes available

The Cohort I model

Initial contact: first phoneme is basis for 'word initial cohort', consisting of all words starting with the phoneme


Selection: after each next phoneme, words that no longer fit drop out of the cohort; semantic and syntactic context can also lead to the removal of words from the cohort: interaction

Lexical access: of only one word remains in the cohort (maximally at the uniqueness point), this word is recognized

Problems for Cohort model I

  • Frequency-effect
  • What is a phoneme has been identified wrongly?
  • Word and phoneme segmentation

TRACE: Three levels of representation

  • Acoustic features
  • Phonemes
  • Words

Metrical segmentation strategy (MSS)

English content words often gave stress on the first syllable, put the word boundary on there

Prelexical (phonetic) code

representation of word sounds before word is recognized

Postlexical (phonemic) code

representation after word is recognized

Context effects: phoneme restoration effect

  • In a spoken sentence one phoneme has been replaced nu a sound (a cough)
  • This word context effect does not work in sentence context

Context effects: Bottum-up explanation: race model

Race between two routes:
  1. Phonemic route: from acoustic signal to phonemes
  2. Lexical route: from lexicon to phonemes

In case of bad signal, the lexical route wins

Sentence context effects

Word recognition is 'better' in a sentence context.
Priming: an active word activates semantically related words. A related word is recognized fast than an unrelated word

Context condition: whole text
Neutral condition: only the last sentence

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