Topic
Speech segmentation
About: Speech segmentation is a research topic. Over the lifetime, 1237 publications have been published within this topic receiving 40070 citations.
Papers published on a yearly basis
1 / 2
Papers
TL;DR: The present study shows that a fundamental task of language acquisition, segmentation of words from fluent speech, can be accomplished by 8-month-old infants based solely on the statistical relationships between neighboring speech sounds.
Abstract: Learners rely on a combination of experience-independent and experience-dependent mechanisms to extract information from the environment. Language acquisition involves both types of mechanisms, but most theorists emphasize the relative importance of experience-independent mechanisms. The present study shows that a fundamental task of language acquisition, segmentation of words from fluent speech, can be accomplished by 8-month-old infants based solely on the statistical relationships between neighboring speech sounds. Moreover, this word segmentation was based on statistical learning from only 2 minutes of exposure, suggesting that infants have access to a powerful mechanism for the computation of statistical properties of the language input.
5,352 citations
TL;DR: This article showed that distributional cues may play an important role in the initial word segmentation of language learners, and that the addition of certain prosodic cues served to enhance performance of infants.
1,406 citations
TL;DR: In this article, it was found that, though ability in both syllable and phoneme segmentation increased with grade level, analysis into phonemes was significantly harder and perfected later than analysis into syllables.
1,396 citations
TL;DR: It is argued that segmentation at strong syllables in continuous speech recognition serves the purpose of detecting the most efficient locations at which to initiate lexical access.
Abstract: A model of speech segmentation in a stress language is proposed, according to which the occurrence of a strong syllable triggers segmentation of the speech signal, whereas occurrence of a weak syllable does not trigger segmentation. We report experiments in which listeners detected words embedded in nonsense bisyllables more slowly when the bisyllable had two strong syllables than when it had a strong and a weak syllable; mint was detected more slowly in mintayve than in minlesh. According to our proposed model, this result is an effect of segmentation: When the second syllable is strong, it is segmented from the first syllable, and successful detection of the embedded word therefore requires assembly of speech material across a segmentation position. Speech recognition models involving phonemic or syllabic receding, or based on strictly left-toright processes, do not predict this result. It is argued that segmentation at strong syllables in continuous speech recognition serves the purpose of detecting the most efficient locations at which to initiate lexical access.
932 citations
TL;DR: It is estimated that approximately 85% of lexical words (i.e. excluding function words) will begin with strong syllables, and a strategy of postulating word boundaries at the onset of strong syllable would have a high success rate in that few actual lexical word onsets would be missed.
806 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2025 | 4 |
| 2024 | 10 |
| 2023 | 9 |
| 2022 | 21 |
| 2021 | 30 |
| 2020 | 38 |