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Related Experiment Video

Updated: Jun 6, 2026

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis
05:48

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Published on: August 9, 2024

Human phoneme recognition depending on speech-intrinsic variability.

Bernd T Meyer1, Tim Jürgens, Thorsten Wesker

  • 1Medizinische Physik, Carl-von-Ossietzky Universität Oldenburg, D-26111 Oldenburg, Germany. bernd.meyer@uni-oldenburg.de

The Journal of the Acoustical Society of America
|November 30, 2010
PubMed
Summary
This summary is machine-generated.

Human speech perception is affected by variations like speaking rate and accent. Spectral distance predicts recognition, with voicing and manner being robust cues, while place of articulation is less so.

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Area of Science:

  • Speech Perception
  • Acoustic Phonetics
  • Human-Computer Interaction

Background:

  • Speech-intrinsic variations (rate, effort, style, dialect) impact human speech perception.
  • Understanding these variations is crucial for improving both human speech recognition (HSR) and automatic speech recognizers (ASR).

Purpose of the Study:

  • To investigate the influence of speech-intrinsic variations on human speech perception.
  • To quantify the degradation in speech recognition due to these variations and masking noise.

Main Methods:

  • Listening experiments with 16 participants analyzing consonant-vowel-consonant (CVC) and vowel-consonant-vowel (VCV) sound confusions.
  • Utilized the OLLO logatome speech database featuring 50 speakers across five dialect regions and various intrinsic variations.
  • Analyzed results based on intrinsic variations and extrinsic factors (masking noise levels) to determine signal-to-noise ratio (SNR) degradation.

Main Results:

  • Spectral level distance between speech segments and masking noise spectrum effectively predicted recognition rates.
  • Phoneme confusions were influenced by spectral proximity to other phonemes.
  • Voicing and manner of articulation were identified as robust phonetic cues, while place of articulation coding was more degraded under intrinsic variations.

Conclusions:

  • Speech-intrinsic variations significantly influence human speech perception and recognition accuracy.
  • Spectral characteristics and phonetic feature robustness (voicing, manner) are key factors in speech intelligibility.
  • The OLLO database provides valuable data for comparing HSR and ASR performance under varied speech conditions.