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[Development of Mandarin tonal identification in noise test materials]
Bo Liu1, Beier Qi, Andreas Krenmayr
1Department of Otorhinolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Otolaryngology, Key Laboratory of Otolaryngology Head and Neck Surgery, Capital Medical University, Ministry of Education, Beijing 100730, China.
This study developed Mandarin tone identification in noise (M-TINT) materials, crucial for assessing speech perception in challenging auditory environments. The new test aids clinical diagnosis and research for tonal language speakers.
Area of Science:
- Linguistics
- Audiology
- Speech Science
Background:
- Mandarin Chinese is a tonal language where pitch contours distinguish word meanings.
- Accurate tone identification is vital for speech comprehension, especially in noisy conditions.
- Existing tests may not fully capture the complexities of Mandarin tone perception in noise.
Purpose of the Study:
- To create a comprehensive test battery for Mandarin tone identification in noise (M-TINT).
- To base the test material on the specific linguistic and acoustic properties of Mandarin.
- To ensure the test is reliable and efficient for clinical and research applications.
Main Methods:
- Developed a primary list of 320 words (80 syllables x 4 tones) considering familiarity and tonal distinctiveness.
- Recorded speech materials using male and female broadcasters.
- Created speaker-specific masking noises, balanced for loudness, to simulate real-world listening challenges.
Main Results:
- Established a database of 288 loudness-balanced syllables across all four Mandarin tones.
- Produced complete test materials on CDs in male and female versions.
- Implemented adjustable speaker-specific masking noise levels for flexible testing.
Conclusions:
- The M-TINT materials are designed considering tonal acoustics and adult psychophysics.
- This test serves as a valuable tool for clinical audiology and speech research.
- The developed materials have potential as a foundational list for other tonal language identification tests.
