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Measurement errors in voice-key naming latency for Hiragana
1Hiroshima University, Kagamiyama, Higashi Hiroshima, Japan. junyamd@hiroshima-u.ac.jp
Perceptual and Motor Skills
|March 9, 2004
Summary
Voice-key naming latency research on Japanese hiragana symbols can have substantial measurement errors. Applying specific data analysis methods can mitigate these errors for more accurate insights into naming behavior.
Area of Science:
- Linguistics
- Psycholinguistics
- Speech Science
Background:
- Voice-key technology is frequently used in speech production research, including naming latency studies.
- Previous research has not fully addressed the potential for measurement errors in voice-key latency data, particularly for simple linguistic units like single hiragana symbols.
- Understanding these limitations is crucial for accurate interpretation of naming behavior.
Purpose of the Study:
- To investigate the limitations and possibilities of voice-key naming latency research specifically for single hiragana symbols.
- To evaluate the accuracy of standard voice-key measurement procedures by comparing data with established speech-analyzer waveform data.
- To identify sources of measurement error and propose methods for their mitigation.
Main Methods:
- Analysis of three datasets of voice-key naming latency for single hiragana symbols.
- Comparison of voice-key data with reference voice-waveform data from Sakuma, Fushimi, and Tatsumi (1997).
- Examination of potential measurement errors introduced by phoneme characteristics and procedural aspects.
Main Results:
- Standard voice-key measurement procedures can introduce substantial errors in hiragana naming latency data.
- These errors can obscure the actual effects of variables influencing hiragana naming behavior.
- Specific analytical adjustments, such as applying Sakuma et al.'s deltas and excluding error-prone initial phonemes, can reduce measurement errors.
Conclusions:
- Voice-key latency research on single hiragana symbols requires careful consideration of measurement error.
- Standard procedures may not be sufficiently accurate for precise analysis of naming behavior at this level.
- While errors can be mitigated for simple symbols, they may be less significant when analyzing complex linguistic materials like words.