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HRTFs Measurement Based on Periodic Sequences Robust towards Nonlinearities in Automotive Audio
Stefania Cecchi1, Valeria Bruschi1, Stefano Nobili1
1Department of Information Engineering, Università Politecnica delle Marche, 60131 Ancona, Italy.
This study introduces a new measurement method for head-related transfer functions (HRTFs) using periodic sequences, enhancing robustness against system nonlinearities for automotive audio applications.
Area of Science:
- Acoustics
- Signal Processing
- Human-Computer Interaction
Background:
- Head-related transfer functions (HRTFs) are crucial for immersive audio and subjective sound system evaluation.
- Automotive audio environments are increasingly popular for audio listening.
- Research is exploring the application of HRTFs in cars.
Purpose of the Study:
- To propose a novel measurement method for HRTFs tailored for automotive applications.
- To ensure the proposed method is robust against nonlinearities in measurement systems.
- To validate the effectiveness of the new method through experimental results.
Main Methods:
- Utilizing perfect or orthogonal periodic sequences for HRTF measurement.
- Implementing a measurement approach designed for robustness against system nonlinearities.
- Conducting experiments in both emulated and controlled real-world automotive environments.
Main Results:
- The proposed measurement method demonstrates effectiveness in HRTF acquisition.
- The method shows robustness against nonlinearities inherent in measurement systems.
- Experimental results validate the approach against established methods.
Conclusions:
- The developed HRTF measurement technique is effective and robust for automotive audio.
- This method offers a reliable approach for HRTF characterization in noisy environments like cars.
- The findings contribute to advancing immersive audio experiences in vehicles.
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