Speech intelligibility tests and analysis of confusions and perceptual representations of Thai initial consonants

Tantibundhit, Charturong; Onsuwan, Chutamanee

doi:10.1016/j.specom.2015.05.005

Cited by 4 publications

(3 citation statements)

References 22 publications

(40 reference statements)

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“…2) This research is based on a tonal language called the Thai language. It is different from western languages, especially, there are 5 tones, consisting of low-tone, mid-tone, high-tone, rising tone and falling tone [12]. It has been mentioned in [13][14] and proven that native Thai users have better perception to Thai speech than non-Thai native speakers (e.g.…”

Section: B Motivation Of Workmentioning

confidence: 99%

“…However, after considering in detail, this study actually used a simplified E-model to predict the results because it presented (5)-( 6) which are parts of the simplified E-model, while a-c codec constants for G.711, G.729, G.723.1 and iLBC utilized in (6) were also presented. Il was proposed as shown in (12), where Il stands for language impairment factor, C1, C2 are constants for Chinese, 0.52819 and 0.574391 respectively and PPL stands for packet loss rate.…”

Section: Referencesmentioning

confidence: 99%

“…Ren et al ( 2010) [52] Ij was proposed as in (12), where γ0, γ1, γ2, γ3, γ4, γ5 are constants and γ0 stands for the threshold, and H(x) stands for the step function:…”

Section: Referencesmentioning

confidence: 99%

See 2 more Smart Citations

QoE Modeling for Voice over IP: Simplified E-model Enhancement Utilizing the Subjective MOS Prediction Model: A Case of G.729 and Thai Users

Daengsi

Wuttidittachotti

2019

J Netw Syst Manage

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This research proposes an enhanced measurement method for VoIP quality assessment which provides an improvement to accuracy and reliability. To improve the objective measurement tool called the simplified E-model for the selected codec, G.729, it has been enhanced by utilizing a subjective MOS prediction model based on native Thai users, who use the Thai-tonal language. Then, the different results from the simplified E-model and subjective MOS prediction model were used to create the Bias function, before adding to the simplified E-model. Finally, it has been found that the outputs from the enhanced simplified E-model for the G.729 codec shows better accuracy when compared to the original simplified E-model, specially, after the enhanced model has been evaluated with 4 test sets. The major contribution of this enhancement is that errors are reduced by 58.87 % when compared to the generic simplified E-model. That means the enhanced simplified E-model as proposed in this study can provide improvement beyond the original simplified one significantly.

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Section: B Motivation Of Workmentioning

confidence: 99%

Section: Referencesmentioning

confidence: 99%