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Published on: August 9, 2024
Human voice quality measurement in noisy environments
Shyh-Kuang Ueng1, Cheng-Ming Luo2, Tsung-Yu Tsai1
1Department of Computer Science & Engineering, National Taiwan Ocean University, Keelung City, Taiwan.
This study introduces a novel voice quality assessment system that accurately measures voice characteristics despite low-frequency ambient noise. The system demonstrates superior performance in key acoustic measurements compared to existing tools.
Area of Science:
- Acoustic analysis
- Voice pathology diagnosis
- Signal processing
Background:
- Accurate computerized acoustic voice measurement is crucial for diagnosing vocal pathologies.
- Ambient noise significantly impacts the precision of voice quality assessments.
Purpose of the Study:
- To present a voice quality assessment system capable of precise voice signal measurement, even with low-frequency noise contamination.
- To develop a robust method for voice analysis in noisy environments.
Main Methods:
- Collected and analyzed frequencies of ambient noises from living rooms and laboratories.
- Designed a filter to mitigate low-frequency noise in voice signals.
- Employed advanced numerical algorithms for extracting voice parameters to assess voice health.
Main Results:
- The proposed method surpassed widely used programs like MDVP and Praat in measuring fundamental frequency and harmonic-to-noise ratio.
- Achieved comparable performance to MDVP and Praat in calculating jitter and shimmer.
Conclusions:
- The developed voice quality assessment method exhibits resilience to low-frequency noise.
- Enables accurate human voice quality measurement in environments with common noise sources such as air-conditioners and computer fans.
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