Abstract
The real-time implementation of speech enhancement is a vital tool destined to ameliorate the speech quality and intelligibility for auditors. In this paper, a speech denoising hardware implementation is developed in order to be used in recognition, synthesis, and coding applications. So, we propose a real-time implementation of speech enhancement approach for single channel in a noisy environment on the basis of Discrete Orthonormal Stockwell Transform (DOST) at the aim to ameliorate the speech quality and intelligibility. The speech enhancement system was tested on DSP TMS320C6416 processor and the obtained results have shown that it has met the real-time requirements in terms of memory consumption (Ko) and number of cycles (MCPS). For a subjective criterion, we have used the Mean Opinion Score (MOS) to evaluate the perceptual quality.
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Saoud, S., Bousselmi, S., Nasr, M.B., Cherif, A. (2020). DSP Real-Time Implementation of DOST Algorithm Used for Speech Enhancement. 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_7
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