The perceptual analysis measurement system for robust end-to-end speech quality assessment

Rix, Antony W.; Hollier, M. P.

doi:10.1109/icassp.2000.861935

Cited by 47 publications

(26 citation statements)

References 4 publications

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“…Psytechnics, a UK-based company associated with British telecommunications (BT), developed an objective speech quality measure called perceptual analysis measurement system (PAMS) [27]. PAMS uses a model based on factors of human perception to measure the perceived speech clarity of an output signal as compared with the input signal.…”

Section: Perceptual Analysis Measurement System (Pams)mentioning

confidence: 99%

Advances in voice quality measurement in modern telecommunications

Mahdi

Picovici

2009

Digital Signal Processing

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Section: Perceptual Analysis Measurement System (Pams)mentioning

confidence: 99%

Advances in voice quality measurement in modern telecommunications

Mahdi

Picovici

2009

Digital Signal Processing

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“…In practice, an acceptable input-to-output based speech quality measure should typically achieve a correlation with the MOS_LQS in the range of 0.8-0.9, as the case with all measures that have been standardised and currently in use [7,11,19,29]. In contrast, the correlation values achieved here by the proposed measure represent a very high level of performance.…”

Section: Posqe's Performance For Mnru Distortion Conditionsmentioning

confidence: 54%

“…Hence, from the mide-1990s, the focus of speech quality assessment models shifted to solving these problems by developing models that maintain their accuracy when used in real networks. Within this context, Rix and Hollier [11] used a combination of phaseless cross-spectrum-based transfer function equalization and spectral difference, for partial equalization in a model based on that of Karjalainen, known as the perceptual analysis measurement system (PAMS). As the PSQM proved unsuitable for network testing, a competition was held by the ITU-T to replace it.…”

Section: Introductionmentioning

confidence: 99%

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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“…Theyidentify the audible distortions based on the perceptual domain representation of twosignals incorporating human auditory models. Several intrusive models have been developed overrecent years, likeP erceptual Speech Quality Measure (PSQM) [18], Measuring Normalizing System (MNB) [ 19,20], Perceptual Analysis Measurement System (PAMS) [ 21], Perceptual Evaluation of Speech Quality (PESQ) [22,23] and Perceptual Objective Listening Quality Assessment (POLQA) [ 24,25]. Among the models mentioned above, PSQM, PESQand most recently,POLQA have been standardised by the ITU-T as Recommendations P. 861 [26], P. 862 [27] and P. 863 [28] respectively.M oreover, MNB is described in Appendix II of ITU-T Rec.…”

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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The perceptual analysis measurement system for robust end-to-end speech quality assessment

Cited by 47 publications

References 4 publications

Advances in voice quality measurement in modern telecommunications

Advances in voice quality measurement in modern telecommunications

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

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

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