Improving a Parametric Model for Speech Quality Assessment in Wireless Communication Systems

Autor(es)

Rodriguez, Demostenes Z. ; Pivaro, Gabriel F. ; Rosa, Renata L. ; Mittag, Gabriel ; Moeller, Sebastian ; IEEE

• Tipo de documento: Artigo Científico
• Fonte: 2022 25TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2022); v. N/A, p. 5-pg., 2018-01-01.

Resumo

Telecommunication operators need tools to evaluate and improve the quality of the their services offered. In the case of telephony services, the speech quality perceived by the users is relevant. There are different speech quality assessment methods, one of them is the parametric method that is generally used in network planning. The ITU-T Rec. G107, and its recent updates, is the most representative parametric method. However, it does not consider the impairments occurred in a wireless channel. In this context, we propose the inclusion of parameters, such as fading channel model, signal-to-noise ratio (SNR), and maximum Doppler shift using different modulation schemes. Several wireless communication scenarios were simulated using actual speech samples as input. Then, the impairment speech samples were evaluated by an intrusive signal-based method described in ITU-T Rec. P.862.2, which results are used as ground-truth. Experimental results demonstrated that there is a high correlation between wireless channel parameters and mean opinion score (MOS) index. Thus, an impairment wireless function, named Iw is proposed and added to the E-model wide-band algorithm. Performance validation test results demonstrated that Iw represents a reliable wireless degradation model, reaching a Pearson correlation coefficient (PCC) and a normalized RMSE (NRMSE) of 0:973 and 0:085, respectively. (AU)

• Processo FAPESP: 15/24496-0 - Avaliação do serviço das operadoras de comunicações utilizando o índice de qualidade de voz
• Beneficiário: Demostenes Zegarra Rodriguez
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 15/25512-0 - Análise Condicional para Codificação e Reconhecimento de Sinais de Áudio e Voz
• Beneficiário: Miguel Arjona Ramírez
• Modalidade de apoio: Auxílio à Pesquisa - Regular