P.563—The ITU-T Standard for Single-Ended Speech Quality Assessment

Malfait, Ludovic; Berger, Jens; Kastner, Monika

doi:10.1109/tasl.2006.883177

Cited by 193 publications

(169 citation statements)

References 5 publications

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“…Across these studies, reoccurring successful measures of quality have been: signal-to-noise ratio (SNR), P.563 -an International Telecommunication Union (ITU) standard for speech quality assessment (Malfait et al, 2006), and the higher-order statistic measure of kurtosis.…”

Section: Quality Measures For Speechmentioning

confidence: 99%

Speaker verification in score-ageing-quality classification space

Kelly

Drygajlo

Harte

2013

Computer Speech & Language

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Section: Quality Measures For Speechmentioning

confidence: 99%

Speaker verification in score-ageing-quality classification space

Kelly

Drygajlo

Harte

2013

Computer Speech & Language

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“…Once ar eference is available, as ignal comparison similar to PESQ/POLQA can then be performed. The result of this comparison can further be modified by a parametric degradation analysis and integrated into an assessment of overall quality.T he most widely used nonintrusive models include Auditory Non-Intrusive QUality Estimation (ANIQUE) [ 29] and internationally standardized P. 563 [30,31].…”

Section: Subjective and Objective Speech Qualitymentioning

confidence: 99%

An Analysis of the Impact of Playout Delay Adjustments introduced by VoIP Jitter Buffers on Listening Speech Quality

Počta¹,

Melvin²,

Hines³

2015

Acta Acustica united with Acustica

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SummaryThis paper investigates the impact of frequent and small playout delay adjustments (time-shifting)o f3 0m so r less introduced to silence periods by Vo ice overIP(Vo IP)jitter buffer strategies on listening quality perceivedby the end user.Inparticular,the quality impact is assessed using both asubjective method (quality scores obtained from subjective listening test)a nd an objective method based on perceptual modelling. Twod i ff erent objective methods are used, PESQ (Perceptual Evaluation of Speech Quality,ITU-T Recommendation P. 862)and POLQA (Perceptual Objective Listening Quality Assessment, ITU-T Recommendation P. 863). Moreover, the relative accuracyofboth objective models is assessed by comparing their predictions with subjective assessments. The results showthat the impact of the investigated playout delay adjustments on subjective listening quality scores is negligible. On the other hand, asignificant impact is reported for objective listening quality scores predicted by the PESQ model i.e. the PESQ model fails to correctly predict quality scores for this kind of degradation. Finally, the POLQA model is shown to perform significantly better than PESQ. We conclude the paper by identifying further related research that arises from this study.

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“…Recently, the ITU-T released Recommendation P.563 as its standard algorithm for a single-ended (no reference) speech quality assessment for narrow-band telephony applications [17,18,4]. The algorithm is able to predict the speech quality on a perception-based scale MOS-LQO according to ITU-T Recommendation P.800.1, by taking into account the full range of distortions occurring in public switched telephony networks (PSTN) and some mobile or VoIP-related ones (narrowband speech only).…”

Section: Introductionmentioning

confidence: 99%

“…The algorithm is able to predict the speech quality on a perception-based scale MOS-LQO according to ITU-T Recommendation P.800.1, by taking into account the full range of distortions occurring in public switched telephony networks (PSTN) and some mobile or VoIP-related ones (narrowband speech only). To achieve this, the P.563 uses a three-stage model comprising a preprocessing stage, a distortion estimation stage and a perceptual mapping stage [18]. The model incorporates three basic principles for evaluation distortions.…”

Section: Introductionmentioning

confidence: 99%

“…The third principle is to identify and to estimate specific distortions encountered in voice channels, such as noise, robotization and temporal clipping. Finally, the model estimates the listening speech quality based on combining above calculated parameters with the application of a distortiondependent weighting [17,18]. Regarding correlation of its quality predicted scores with the MOS-LQS, reported experimental results indicate that the accuracy of the P.563 method compares favorably with the first generation of intrusive perceptual models such as the PSQM [10].…”

Section: Introductionmentioning

confidence: 99%

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New single-ended objective measure for non-intrusive speech quality evaluation

Mahdi

Picovici

2008

SIViP

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This article proposes a new output-based method for non-intrusive assessment of speech quality of voice communication systems and evaluates its performance. The method requires access to the processed (degraded) speech only, and is based on measuring perception-motivated objective auditory distances between the voiced parts of the output speech to appropriately matching references extracted from a pre-formulated codebook. The codebook is formed by optimally clustering a large number of parametric speech vectors extracted from a database of clean speech records. The auditory distances are then mapped into objective Mean Opinion listening quality scores. An efficient data-mining tool known as the Self-Organizing Map (SOM) achieves the required clustering and mapping/reference matching processes. In order to obtain a perception-based, speaker-independent parametric representation of the speech, three domain transformation techniques have been investigated. The first technique is based on a Perceptual Linear Prediction (PLP) model, the second utilises a Bark Spectrum (BS) analysis and the third utilises Mel-Frequency Cepstrum Coefficients (MFCC). Reported evaluation results show that the proposed method provides high correlation with subjective listening quality scores, yielding accuracy similar to that of the ITU-T P.563 while maintaining a relatively low computational complexity. Results also demonstrate that the method outperforms the PESQ in a number of distortion conditions, such as those of speech degraded by channel impairments.

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P.563—The ITU-T Standard for Single-Ended Speech Quality Assessment

Cited by 193 publications

References 5 publications

Speaker verification in score-ageing-quality classification space

Speaker verification in score-ageing-quality classification space

An Analysis of the Impact of Playout Delay Adjustments introduced by VoIP Jitter Buffers on Listening Speech Quality

New single-ended objective measure for non-intrusive speech quality evaluation

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