Equalization of the Measuring System Frequency Response in the Objective Assessment of Speech Intelligibility
DOI:
https://doi.org/10.18372/1990-5548.69.16428Keywords:
speech intelligibility, room impulse response, frequency response equalization, audio equipment of non-professional quality levelAbstract
Voice control of an unmanned aerial vehicle has a number of advantages if the operator is indoors. In this case, the distortions of speech commands caused by the influence of noise interference can be significantly reduced. However, the disadvantage of such control is the negative impact of reverberation on speech intelligibility. Therefore, it is advisable to perform a preliminary assessment of speech intelligibility in the room before the session of unmanned aerial vehicle controlling. This assessment can be performed by the modulation method, using the room impulse response estimate. If a non-professional quality loudspeaker and microphone are used to estimate the room impulse response, errors in the room impulse response estimate can affect the results of speech intelligibility assessment. In this paper, two techniques of equalizing of non-professional quality level audio equipment used in assessing the room impulse response have been compared. It is shown that a dividing the frequency response of the “loudspeaker-room-microphone” system into the amplitude frequency response of the “loudspeaker-microphone” subsystem provides almost the same equalization quality as a more complex technique of adaptive filtering. At the same time, studies have shown that such equalization is not necessary, provided that the frequency response unevenness of the “loudspeaker-microphone” subsystem does not exceed 8–10 dB in the frequency range from 100 Hz to 11 kHz.
References
R. Contreras, A. Ayala, and F. Cruz, "Unmanned Aerial Vehicle Control Through Domain-based Automatic Speech Recognition," Computers, 9(3), 75, September 2020. https://doi.org/10.3390/computers9030075
J.-S. Park, and H.-J. Na, "Front-End of Vehicle-Embedded Speech Recognition for Voice-Driven Multi-UAVs Control," Appl. Sci., 10(19), 6876, September 2020. https://doi.org/10.3390/app10196876
W. Yang, and J. Bradley, “Effects of room acoustics on the intelligibility of speech in classrooms,” J. of the Acoust. Soc. of Am., 125 (2), pp. 922–933, March 2009. https://doi.org/10.1121/1.3058900
A. Waibel, and K.-F. Lee, Readings in Speech Recognition. Elsevier: 1990.
A. Prodeus, and M. Didkovska, "Assessment of speech intelligibility in university lecture rooms of different sizes using objective and subjective methods," Eastern-European Journal of Enterprise Technologies, 3(5(111), pp. 47–56, 2021. https://doi.org/10.15587/1729-4061.2021.228405
J. Bradley, H. Sato, and M. Picard, “On the importance of early reflections for speech in rooms,” J. of the Acousti. Soc. of Am., 113 (6), pp. 3233–3244, 2003 https://doi.org/10.1121/1.1570439
H. Steeneken, “Forty years of speech intelligibility assessment (and some history),” Proc. of the Institute of Acoustics, 36, Pt.3, 2014.
M. Schroeder, “Modulation Transfer Functions: Definition and Measurement,” Acta Acust. united with Acust., vol. 49, no. 3, pp. 79–182(4), 1981.
A. Tikhonov, “O nekorrektnykh zadachakh lineynoy algebry i ustoychivom metode ikh resheniya,” DAN USSR, 163(3), pp. 591–594, 1965.
L. Morales (Ed), Adaptive filtering applications. In Tech, Croatia: 2011
H. Steeneken, and T. Houtgast, “Validation of the revised STIr method,” Elsevier Speech Communication, vol. 38, pp. 26–37, 2002. https://doi.org/10.1016/S0167-6393(02)00010-9
O. Dvornyk, A. Prodeus, M. Didkovska, and D. Motorniuk, "Artificial Software Complex "Artificial Head," Part 1. Adjusting the Frequency Response of the Path," Microsystems, Electronics and Acoustics, vol. 22, no. 1, pp. 56–64, 2020. https://doi.org/10.20535/2523-4455.mea.198431
O. Dvornyk, A. Prodeus, D. Motorniuk, M. Didkovska, "Hardware and Software System "Artificial Head," Part 2. Evaluation of Speech Intelligibility in Classrooms," Microsystems, Electronics and Acoustics, vol. 22, no. 3, pp. 48–55, 2020. https://doi.org/10.20535/2523-4455.mea.209928
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