Abstract
This paper presents an optimization, and a real-time implementation of a wavelet based speech compression system in STM32F4 discovery card. The optimization is done on the one hand by considering a Voice Activity Detection (VAD) to reduce the complexity and on the other hand by using a new quantization approach that codes each sample with fewer bits. The performance of the embedded audio codec is evaluated with a test technique called Processor-in-the-Loop (PIL) and using objective measures that can predict the perceived quality of the signal, namely SNR, PSNR and MSE. The compression efficiency is measured with the compression factor (CR). This research highlights the importance of the proposed optimizations. Indeed, they increase the CR without damaging the voice quality. The practical study shows that the proposed system meets the temporal and material requirements. Voice clarity is assessed with the Mean Opinion Score (MOS).
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Sayood, K.: Introduction to Data Compression, 3rd edn. Morgan Kaufmann, Burlington (2012)
Saggese, A., et al.: Time-frequency analysis for audio event detection in real scenarios. In: 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). IEEE (2016)
Zhou, J., Zhang, X., Dong, J.: Design of multichannel audio power amplifier monitoring and protection system. Inf. Technol. 9, 037 (2016)
Buś, S., Jȩdrzejewski, K.: Real-time pitch shifting using a general purpose microcontroller. In: Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, vol. 10445. International Society for Optics and Photonics (2017)
Zue, V., Seneff, S., Glass, J.: Speech database development at MIT: TIMIT and beyond. Speech Commun. 9(4), 351–356 (1990)
Benyassine, A., et al.: ITU-T Recommendation G. 729 Annex B: a silence compression scheme for use with G. 729 optimized for V. 70 digital simultaneous voice and data applications. IEEE Commun. Mag. 35(9), 64–73 (1997)
Aloui, N., Bousselmi, S., Cherif, A.: Optimized speech compression algorithm based on wavelets techniques and its real time implementation on DSP. Int. J. Inf. Technol. Comput. Sci. (IJITCS) 7(3), 33–41 (2015)
Wang, F., Zhou, Q., Cai, K., et al.: Implementation of G. 729 ADPCM on DSP. J.-Sichuan Univ. Nat. Sci. Ed. 44(4), 785 (2007)
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Bousselmi, S., Saoud, S., Cherif, A. (2020). Real-Time Implementation of an Optimized Speech Compression System in STM32F4 Discovery Board. In: Bouhlel, M., Rovetta, S. (eds) Proceedings of the 8th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT’18), Vol.2. SETIT 2018. Smart Innovation, Systems and Technologies, vol 147. Springer, Cham. https://doi.org/10.1007/978-3-030-21009-0_4
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DOI: https://doi.org/10.1007/978-3-030-21009-0_4
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