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Related Concept Videos

Errors in Taping01:18

Errors in Taping

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Errors in taping arise from multiple factors that can significantly impact measurement accuracy in surveying. Misalignment of the tape, often due to human error, is one primary source. A skilled rear tapeman, using a telescope, can help correct alignment by guiding the head tapeman; however, human limitations still lead to small inaccuracies. These errors may include misplacement of pins or inaccurate tape readings due to common visual confusions, such as mistaking a six for a nine. Such...
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Language Development01:22

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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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How Does Alignment Error Affect Automated Pronunciation Scoring in Children's Speech?

Prad Kadambi1, Tristan Mahr2, Lucas Annear2

  • 1Arizona State University, USA.

Interspeech
|April 9, 2025
PubMed
Summary
This summary is machine-generated.

Automated pronunciation scoring can be accurate for children. Our study shows that alignment errors have a moderate impact, ensuring reliable comparisons between child speakers using different scoring methods.

Keywords:
alignment errorautomatic pronunciation evaluationforced alignmentgoodness of pronunciationphoneme segmentation

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Area of Science:

  • Speech Science
  • Computational Linguistics
  • Child Language Acquisition

Background:

  • Automated pronunciation scoring assesses speech deviation from adult norms via phonetic segmentation and phoneme likelihood computation.
  • Distinguishing alignment error from true acoustic deviation is crucial for accurate automated scoring.
  • Children's speech presents unique challenges, potentially magnifying both pronunciation deviations and alignment errors.

Purpose of the Study:

  • To quantify the difference between pronunciation scores derived from manual versus automatic speech alignment.
  • To investigate the influence of alignment error and other factors (phoneme position, type) on pronunciation scoring in children.

Main Methods:

  • Utilized mixed-effects modeling to predict the difference in pronunciation scores.
  • Compared scores calculated using manual phonetic alignment ( ) against those from automatic forced alignment ( ).
  • Analyzed the impact of alignment error, phoneme position, and phoneme type on scoring discrepancies.

Main Results:

  • Alignment error was found to have a moderate effect on the pronunciation score difference ( ).
  • Other analyzed variables, such as phoneme position and type, had minimal to no significant effect.
  • Manual and automatically calculated scores showed close agreement after cross-utterance averaging.

Conclusions:

  • Automated forced alignment provides a reliable method for pronunciation scoring in children.
  • The impact of alignment error is manageable and does not preclude accurate comparisons.
  • Practical comparisons of child speakers are highly comparable whether using manual or automatic alignment methods.