Quantifying Quality Degradation of the EVS Super-Wideband Speech Codec

Mittag, Gabriel; Möller, Sebastian; Barriac, Vincent; Ragor, Stephane

doi:10.1109/qomex.2018.8463425

Cited by 12 publications

(4 citation statements)

References 4 publications

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“…Comparison of E-model predictions for Ie,eff to P.OLQA scores, using Eq. (6) and (9) (from [23]). It is emphasized that the performed analysis is not a strict validation, as the subjective test results have been partially used to derive values for Ie and Bpl.…”

Section: Figurementioning

confidence: 99%

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Extending the E-Model Towards Super-Wideband and Fullband Speech Communication Scenarios

Möller¹,

Mittag²,

Michael³

et al. 2019

Interspeech 2019

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In order to plan speech communication services regarding the quality experienced by their users, parametric models have been used since a long time. These models predict the overall quality experienced by a communication partner on the basis of parameters describing the elements of the transmission channel and the terminal equipment. The mostly used model is the Emodel which is standardized in ITU-T Rec. G.107 for narrowband and in ITU-T Rec. G.107.1 for wideband scenarios. However, with the advent of super-wideband and fullband transmission, the E-model needs to be extended. In this paper, we propose a first version of an extended E-model which addresses both super-wideband and fullband scenarios, and which predicts the effects of speech codecs, packet loss, and delay as the most important degradations to be expected in such scenarios. Predictions are compared to the results of listeningonly and conversational tests as well as to signal-based predictions, showing a reasonable prediction accuracy.

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Section: Figurementioning

confidence: 99%

“…It is however still unclear where the rather large differences for 32 and 48 kbit/s stem from. More details can be found in [23]. The P.501 speech files were also degraded with random packet loss, using the EVS codec at 16.4 kbit/s, and the resulting POLQA scores were calculated.…”

mentioning

confidence: 99%

Extending the E-Model Towards Super-Wideband and Fullband Speech Communication Scenarios

Möller¹,

Mittag²,

Michael³

et al. 2019

Interspeech 2019

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“…Thus, an E-model for WB networks was developed in [30], standardized in G.107.1 [31], and new approaches were introduced in [32]- [34]. More recently, the E-model for FB networks was standardized in G.107.2 [35] enabling to evaluate the speech quality gain of codecs that support FB signals, such as Enhanced Voice Services (EVS) [33], [36] and OPUS [37], [38] audio codecs.…”

Section: Introductionmentioning

confidence: 99%

Incorporating Wireless Communication Parameters into the E-Model Algorithm

Rodríguez,

Melgarejo,

Ramírez

et al. 2021

Preprint

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Telecommunication service providers have to guarantee acceptable speech quality during a phone call to avoid a negative impact on the users' quality of experience. Currently, there are different speech quality assessment methods. ITU-T Recommendation G.107 describes the E-model algorithm, which is a computational model developed for network planning purposes focused on narrowband (NB) networks. Later, ITU-T Recommendations G.107.1 and G.107.2 were developed for wideband (WB) and fullband (FB) networks. These algorithms use different impairment factors, each one related to different speech communication steps. However, the NB, WB, and FB E-model algorithms do not consider wireless techniques used in these networks, such as Multiple-Input-Multiple-Output (MIMO) systems, which are used to improve the communication system robustness in the presence of different types of wireless channel degradation. In this context, the main objective of this study is to propose a general methodology to incorporate wireless network parameters into the NB and WB E-model algorithms. To accomplish this goal, MIMO and wireless channel parameters are incorporated into the E-model algorithms, specifically into the I e,ef f and I e,ef f,W B impairment factors. For performance validation, subjective tests were carried out, and the proposed methodology reached a Pearson correlation coefficient (PCC) and a root mean square error (RMSE) of 0.9732 and 0.2351, respectively. It is noteworthy that our proposed methodology does not affect the rest of the E-model input parameters, and it intends to be useful for wireless network planning in speech communication services.

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“…It considers different degradation factors, such as acoustic echoes, electrical coupling on the user's device, transmission delays, packet loss, and specific characteristics of speech codecs. In recent years, different improvements were proposed [18]- [20] to adapt the E-model algorithm for WB and SWB networks.…”

Section: Introductionmentioning

confidence: 99%

Speech Quality Assessment in Wireless Communications With MIMO Systems Using a Parametric Model

et al. 2019

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Communication service providers use specialized solutions to evaluate the quality of their services. Also, different mechanisms that increase network robustness are incorporated in current communication systems. One of the most accepted techniques to improve transmission performance is the MIMO system. In communication services, voice quality is important to determine the user's quality of experience. Nowadays, different speech quality assessment methods are used, one of them is the parametric method that is used for network planning purposes. The ITU-T Rec. G107.1 is the most accepted model for wide-band communication systems. However, it does not consider the degradations occurring in a wireless network nor the quality improvement, caused by the MIMO systems. Thus, we propose a speech quality model, based on wireless parameters, such as signal-to-noise ratio, Doppler shift, MIMO configurations, and different modulation schemes. Also, real speech signals encoded by 3 operation modes of the AMR-WB codec are used in test scenarios. The resulting speech samples were evaluated by the algorithm described in ITU-T Rec. P.862.2, which scores are used as a reference. With these results, a wireless function, named I W −M that relates the wireless network parameters with speech quality is proposed and inserted into the wide-band E-model algorithm. It is worth noting that the main novelty of the proposed I W −M is the consideration of the quality improvement incorporated by MIMO systems with different antenna array configurations. The performance validation results demonstrated that the inclusion of I W −M values into the R global score determined a reliable model, reaching a Pearson correlation coefficient and a normalized RMSE of 0.976 and 0.144, respectively. INDEX TERMS Speech quality, wireless communications, MIMO systems, antenna arrays, fading channels, parametric models, E-model.

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Quantifying Quality Degradation of the EVS Super-Wideband Speech Codec

Cited by 12 publications

References 4 publications

Extending the E-Model Towards Super-Wideband and Fullband Speech Communication Scenarios

Extending the E-Model Towards Super-Wideband and Fullband Speech Communication Scenarios

Incorporating Wireless Communication Parameters into the E-Model Algorithm

Speech Quality Assessment in Wireless Communications With MIMO Systems Using a Parametric Model

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