Radio link parameter based speech quality index-SQI

Heikkila, G.; Minde, T.B.; Nordlund, M.; Timus, Bogdan

doi:10.1109/scft.1999.781513

Cited by 14 publications

(5 citation statements)

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“…In this case, the received speech frame at the input of the AMR decoder is given by (6) where ( ) n e represents the transmission errors associated with the n th frame. Specifically, these errors can be divided into Class-A errors ) Here, f(·,·) is a binary function whose value is "0" when the polynomial is divisible by the CRC polynomial [28], and its value is "1" otherwise.…”

Section: Systyem Model a Basic Block Diagram Of A Umts Link Is Shmentioning

confidence: 99%

“…As such, objective methods for estimation of MOS-LQ have been developed [6]- [10]. Objective methods can be categorized into parametric methods, e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Objective methods can be categorized into parametric methods, e.g. [6]- [8], and psychoacoustic methods such as [9], [10]. The telecommunication industry developed parametric objective speech quality measurement algorithms for monitoring network speech quality.…”

Section: Introductionmentioning

confidence: 99%

“…In this case, the speech quality is indirectly estimated based on a set of network parameters that can affect speech quality. One of the prominent cellular mobile network monitoring tools incorporates a parametric algorithm for calculation of the so-called speech quality index (SQI) [6]. The SQI has been formulated on the premise that almost all speech quality degradations in a cellular network are due to radio transmission imperfections.…”

Section: Introductionmentioning

confidence: 99%

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On in-service perceptual speech quality monitoring in cellular radio systems

Rohani¹,

Rohani²,

Caldera³

et al. 2009

2009 Wireless Telecommunications Symposium

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A method for in-service monitoring of the end-user perceptual speech quality in cellular radio systems is proposed. This method incorporates the perceptual evaluation of speech quality (PESQ) algorithm to monitor the quality experienced by the end-user. Here, the monitoring is carried out at the transmitting side. In this case, the speech signal received by the end-user is estimated at the transmitter in accordance with a feedback signal. The performance of the proposed scheme has been investigated through extensive simulations for the Universal Mobile Telecommunication System (UMTS) using different speech coding rates and channel conditions. The results indicate that the proposed scheme can predict end-user quality with a root-mean-squared error (RMSE) of at most 0.15 using the mean opinion score (MOS) rating scheme. Such accuracy can be beneficial in applications such as radio resource management for satisfying the desired level of quality of service.

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Section: Systyem Model a Basic Block Diagram Of A Umts Link Is Shmentioning

confidence: 99%

“…As such, objective methods for estimation of MOS-LQ have been developed [6]- [10]. Objective methods can be categorized into parametric methods, e.g.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On in-service perceptual speech quality monitoring in cellular radio systems

Rohani¹,

Rohani²,

Caldera³

et al. 2009

2009 Wireless Telecommunications Symposium

View full text Add to dashboard Cite

show abstract

“…Nonintrusive network parameter-based measurements are proposed in [13,14], but some radio parameters such as TxPow and Latency used in [13] and Frame Erasure Rate and Length of Erased Frames used in [14] are not able to be acquired in signaling monitor platform for operators, indicating that operators cannot monitor QoE of the voice service by the two methods. Another network parameter-based measurement for GSM called Speech Quality Index (SQI) is proposed by Karlsson et al [15]. Then, SQI is extended to AMR codec by Wanstedt et al [16], but the algorithm proposed in [16] can only assess the fixed rate CM.…”

Section: Introductionmentioning

confidence: 99%

A real-time QoE methodology for AMR codec voice in mobile network

Wang

Xing

et al. 2014

Sci. China Inf. Sci.

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A point-based rendering approach for real-time interaction on mobile devices Science in China Series F-Information Sciences 52, 1335 (2009); Real-time camera tracking using hybrid features in mobile augmented reality SCIENCE CHINA Information Sciences 58, 112111 (2015); 2.5-dimensional angle potential field algorithm for the real-time autonomous navigation of outdoor mobile robots SCIENCE CHINA Information Sciences 54, 2100 (2011); VNet: A Versatile Network to Train Real-Time Semantic Segmentation Models on a Single GPU SCIENCE CHINA Information Sciences. RESEARCH PAPER .

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A frame erasure concealment algorithm based on gain parameter re-estimation for CELP coders

Kim

Kang

2001

IEEE Signal Process. Lett.

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Radio link parameter based speech quality index-SQI

Cited by 14 publications

References 1 publication

On in-service perceptual speech quality monitoring in cellular radio systems

On in-service perceptual speech quality monitoring in cellular radio systems

A real-time QoE methodology for AMR codec voice in mobile network

A frame erasure concealment algorithm based on gain parameter re-estimation for CELP coders

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