Perception of Coding Artifacts by Nonnative Speakers - A Study with Mandarin Chinese and German Speaking Listeners

Schinkel-Bielefeld, Nadja; Zhang, Jiandong; Yili, Qin; Leschanowsky, Anna; Shanshan, Fu

doi:10.17743/jaes.2017.0042

Cited by 4 publications

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“…For condition i02 the effect was between EN an ZH, for the rest the difference was between DE and at least one of the others 3. Conclusion here means either two degradation conditions are significantly different or not.…”

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confidence: 78%

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Effect of Language Proficiency on Subjective Evaluation of Noise Suppression Algorithms

Naderi

Mittag

Jiménez

et al. 2021

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Speech communication systems based on Voice-over-IP technology are frequently used by native as well as non-native speakers of a target language, e.g. in international phone calls or telemeetings. Frequently, such calls also occur in a noisy environment, making noise suppression modules necessary to increase perceived quality of experience. Whereas standard tests for assessing perceived quality make use of native listeners, we assume that noise-reduced speech and residual noise may affect native and non-native listeners of a target language in different ways. To test this assumption, we report results of two subjective tests conducted with English and German native listeners who judge the quality of speech samples recorded by native English, German, and Mandarin speakers, which are degraded with different background noise levels and noise suppression effects. The experiments were conducted following the standardized ITU-T Rec. P.835 approach, however implemented in a crowdsourcing setting according to ITU-T Rec. P.808. Our results show a significant influence of language on speech signal ratings and, consequently, on the overall perceived quality in specific conditions.

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confidence: 78%

“…Furthermore, [3] investigates whether foreign language influences ratings and listening times in a subjective evaluation of audio with intermediate impairments (a.k.a MUSHRA [4]). The authors conducted a study containing native German and Mandarin Chinese speaking listeners and items of these two languages.…”

Section: Related Workmentioning

confidence: 99%

Effect of Language Proficiency on Subjective Evaluation of Noise Suppression Algorithms

Naderi

Mittag

Jiménez

et al. 2021

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…Significantly different quality ratings between these groups were found. Other studies include those looking at the influence of cultural backgrounds on timbre preferences [18], the influence of listeners' experience, age, and culture on headphone sound quality preferences [19] and various studies looking at the impact of language on quality perception of speech [20,21].…”

Section: Human Influence Factorsmentioning

confidence: 99%

The role of human influence factors on overall listening experience

Walton

Evans²

2018

Qual User Exp

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Overall listening experience (OLE) is an evaluation measure specific to the evaluation of audio, which aims to include all possible factors that may influence listeners' ratings of stimuli. As with quality of experience in general, OLE ratings are user dependent. Previous research has shown that listeners can be categorised by how much their OLE is influenced by content and technical audio quality respectively. In this article, we expand on this knowledge by investigating correlations between a range of human influence factors and the degree to which a listener is influenced by content and technical audio quality. This was done by means of a web-based experiment involving 58 participants from a range of backgrounds. Results show that listener type is significantly correlated with a range of psychographic variables and that the attitudinal measure 'competence' is the most suitable variable to be used as a predictor of listener type. As well as these results having direct applications such as tailoring systems and services to the needs of specific user groups, the results presented add to the understanding of how human factors can influence quality of experience in general.

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“…The written quiz was selected due to its short duration; despite the fact it is not an optimal means of assessing the ability to understand the spoken language. However, language understanding is not a necessary condition for speech quality assessment as demonstrated in [ 16 ]. The gender structure of the listening panels was balanced–test A included 16 male and 16 female test subjects while test B included 13 male and 12 female subjects.…”

Section: Experiments Descriptionmentioning

confidence: 99%

Subjective speech quality measurement with and without parallel task: Laboratory test results comparison

Avetisyan

Holub

2018

PLoS ONE

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This paper focuses on a novel methodology of subjective speech quality measurement and repeatability of its results between laboratory conditions and simulated environmental conditions. A single set of speech samples was distorted by various background noises and low bit-rate coding techniques. This study aimed to compare results of subjective speech quality tests with and without a parallel task deploying the ITU-T P.835 methodology. Afterward, tests results performed with and without a parallel task were compared using Pearson correlation, CI95, and numbers of opposite pair-wise comparisons. The tests show differences in results in the case of a parallel task.

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Perception of Coding Artifacts by Nonnative Speakers - A Study with Mandarin Chinese and German Speaking Listeners

Cited by 4 publications

References 0 publications

Effect of Language Proficiency on Subjective Evaluation of Noise Suppression Algorithms

Effect of Language Proficiency on Subjective Evaluation of Noise Suppression Algorithms

The role of human influence factors on overall listening experience

Subjective speech quality measurement with and without parallel task: Laboratory test results comparison

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