Search Results - "Richter, Caitlin"

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  1. 1

    A New Acoustic-Based Pronunciation Distance Measure by Bartelds, Martijn, Richter, Caitlin, Liberman, Mark, Wieling, Martijn

    Published in Frontiers in artificial intelligence (29-05-2020)
    “…We present an acoustic distance measure for comparing pronunciations, and apply the measure to assess foreign accent strength in American-English by comparing…”
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    Journal Article
  2. 2

    Evaluating Low-Level Speech Features Against Human Perceptual Data by Richter, Caitlin, Feldman, Naomi H., Salgado, Harini, Jansen, Aren

    “…We introduce a method for measuring the correspondence between low-level speech features and human perception, using a cognitive model of speech perception…”
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    Journal Article
  3. 3

    Neural representations for modeling variation in speech by Bartelds, Martijn, de Vries, Wietse, Sanal, Faraz, Richter, Caitlin, Liberman, Mark, Wieling, Martijn

    Published in Journal of phonetics (01-05-2022)
    “…•Neural acoustic models can be used to automatically model pronunciation variation.•Pronunciation variation is best captured by intermediate layers of…”
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    Journal Article
  4. 4

    Relative Dynamic Time Warping Comparison for Pronunciation Errors by Richter, Caitlin, Guenason, Jon

    “…We propose using a dynamic time warping (DTW) difference-to-sum ratio to classify speech as either matching or diverging from a linguistic standard. This…”
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    Conference Proceeding
  5. 5

    Alternation-Sensitive Phoneme Learning: Implications for Children's Development and Language Change by Richter, Caitlin

    Published 01-01-2021
    “…This dissertation develops a cognitive model describing when children learn to group distinct sound segments (allophones) into abstract equivalence classes…”
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    Dissertation
  6. 6

    Neural Representations for Modeling Variation in Speech by Bartelds, Martijn, de Vries, Wietse, Sanal, Faraz, Richter, Caitlin, Liberman, Mark, Wieling, Martijn

    Published 25-11-2020
    “…Variation in speech is often quantified by comparing phonetic transcriptions of the same utterance. However, manually transcribing speech is time-consuming and…”
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    Journal Article