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Iterative-processed multiband speech enhancement for suppressing musical sounds

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Abstract

A multiband spectral subtraction (MBSS) processing step transforms background noise into annoying musical sounds. The paper proposes an iterative-processed multiband speech enhancement (IP-MBSE) post-processing method for suppressing musical sounds in enhanced speech recordings. In the proposed technique, the outturn of the MBSS processing is employed as an input for the subsequent iteration. The noise spectrum is estimated in each iteration, and the spectral subtraction is executed in each subband individually. The proposed method reduces musical sound even further by applying the estimated speech to the input and repeating the process. This procedure is repeated only a few times. The performance of the proposed technique, IP-MBSE, is measured using: (i) objective clarity measurements such as signal to noise ratio (SNR), segmental SNR (SegSNR), and perceptual evaluation of speech quality (PESQ), as well as (ii) subjective clarity metrics such as mean opinion score (MOS) and spectrogram at various SNR levels. The results of the IP-MBSE are compared with the conventional MBSS, and it is found that the IP-MBSE estimated speech is more pleasant for auditors.

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  1. Department of Electronics and Communication Engineering, The LNM Institute of Information Technology, Jaipur, 302 031, India

    Navneet Upadhyay

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  1. Navneet Upadhyay
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Correspondence to Navneet Upadhyay.

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Upadhyay, N. Iterative-processed multiband speech enhancement for suppressing musical sounds. Multimed Tools Appl 83, 45423–45441 (2024). https://doi.org/10.1007/s11042-023-17336-z

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  • DOI: https://doi.org/10.1007/s11042-023-17336-z

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