• Communications for Statistical Applications and Methods
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• v.2 no.2
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• pp.176-183
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• 1995

Mean opinion score (MOS) method has been used in many areas to quantify opinions of respondents not only in survey research but in evaluating the parameters of population that are not measurable of are technically hard to be measured. Histogram is an important graphical technique because of the role it plays in describing categorical data as well as quantitative. In MOS method, subjective opinions of respondents are quantified by opinion scores and the arithmetic means of opinion scores have been used to describe the interesting population. Since opinion scores are polytomous, the values of arithmetic means have little meanings. In this paper, cumulative percentage curves as a function of the means of opinion scores are derived by combining means of opinion scores and histograms. It is proposed for better interpretation to opinion scores in MOS method, one of subjective evaluation methods.

• The Journal of the Acoustical Society of Korea
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• v.19 no.6
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• pp.23-27
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• 2000

Noise can be defined as any undesired or loud sound. The sound level of mobile phone ring tones could be considered as noise if it is too loud on a specific situation. To classify a specific sound level of mobile phone ring tones as noise, it is useful to evaluate the mean opinion scores(MOS) on sound levels under some specific situations. The paper evaluates MOS on various sound levels (in dBA) of mobile phone ring tones, types of ring tone(bell/melody), and gender(male/female), location (street/office).

• IE interfaces
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• v.15 no.2
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• pp.209-217
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• 2002

Quality of Service(QoS) in the telecommunications can be evaluated by analyzing the opinion data which result from the surveyed opinions of respondents and quantify subjective satisfaction on the QoS from the customers' viewpoints. For analyzing the opinion data, MOS(mean opinion score) method and Cumulative Probability Curve method are often used. The methods are based on the scoring method, and therefore, have the intrinsic deficiency due to the assignment of arbitrary scores. In this paper, we propose an analysis method of the opinion data using logit models which can be used to analyze the ordinal categorical data without assigning arbitrary scores to customers' opinion, and develop an analysis procedure considering the usage of procedures provided by SAS(Statistical Analysis System) statistical package. By the proposed method, we can estimate the relationship between customer satisfaction and network performance parameters, and provide guidelines for network planning. In addition, the proposed method is compared with Cumulative Probability Curve method with respect to prediction errors.

• IE interfaces
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• v.12 no.4
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• pp.496-505
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• 1999

Quality of Service(QoS) is the collective effect of service performances and has a direct impact on customer satisfaction. Although QoS is subjective, network performance parameters contributing to QoS can be measured physically. Therefore overall customer satisfaction for each test condition of the performance parameters is evaluated by asking respondents to indicate his or her opinion on a five-category rating scale i.e., excellent, good, fair, poor, and unsatisfactory. The opinion data resulting from the test can then be used to measure and analyze QoS from the customers' viewpoints. In this papaer, we consider two methods for analyzing the opinion data: MOS method and Cumulative Probability Curve method. The former evaluates an arithmetic mean of the opinion scores which quantify the surveyed opinions of respondents. The latter uses graphical and analytical models which are based on the distribution of the opinions rather than an arithmetic mean. The advantages, disadvantages, and an alternative of each method are discussed, together with future directions of research.

• Journal of Broadcast Engineering
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• v.12 no.2
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• pp.177-184
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• 2007

In this paper, we compared two subjective assessment methods DSCQS(Double Stimulus Continuous Quality Scale method) and ACR(Absolute Category Rating). These methods are widely used in order to evaluate video quality for multimedia application. We performed subjective quality tests using DSCQS and ACR methods. The subjective scores obtained by the DSCQS and ACR methods show that these methods are highly correlated in terms of MOS(Mean Opinion Score) and have slightly lower correlation in terms of DMOS(Difference Mean Opinion Score). The results indicate that ACR method is an effective subjective quality assessment method, which shows compatible performance with DSCQS method and can evaluate a larger number of video sequences.

• Archives of Plastic Surgery
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• v.45 no.4
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• pp.367-374
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• 2018

Background This analysis presents patient-reported outcomes of breast augmentation procedures performed in Singapore using an inframammary fold incision and the "5 Ps" best practice principles for breast augmentation. These data are the first of their kind in Southeast Asian patients. Methods Through a retrospective chart review, patients who underwent primary breast augmentation with anatomical form-stable silicone gel breast implants using an inframammary fold incision were followed for ${\geq}6$ months postoperatively. The BREAST-Q Augmentation Module (scores standardized to 0 [worst] - 100 [best]) and Patient and Observer Scar Assessment Scale (POSAS; 1 [normal skin] to 10 [worst scar imaginable]) were administered. Responses were summarized using descriptive statistics. Patient-reported events were collected. Results Twenty-two Southeast Asian patients (mean age, 35.1 years) completed ${\geq}1$ postoperative BREAST-Q and POSAS assessment and were assessed 11 months to 5.5 years postoperatively. The mean postoperative BREAST-Q satisfaction with breasts and psychosocial well-being scores were 69.2 and 84.0, respectively. The mean POSAS score for their overall opinion of the scar was 4.2; the mean scores for all scar characteristics ranged from 1.2 to 4.2. Over 90% of patients (20/22) said that they would recommend the procedure. Patient complaints following surgery included anisomastia (possibly pre-existing; n=2), sensory loss at the nipple (n=2) or around the nipple (n=3), scarring (n=4), and slight capsular contracture (n=1). No patients required reoperation. Conclusions Southeast Asian patients reported high long-term satisfaction scores on the BREAST-Q scale and with their scar characteristics following breast augmentation using an inframammary fold incision, and nearly all said they would recommend this procedure. No reoperations were necessary in patients assessed for up to 5.5 years postoperatively.

• The Journal of the Acoustical Society of Korea
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• v.11 no.1
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• pp.14-21
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• 1992

In order to establish the speech transmission quality of networks, a series of subjective tests for loudness rating(LR) and sidetone masking rating(STMR) among transmission impairments were carried out. As a result of subjective tests, relationships of mean opinion score(MOS) with LR and STMR, respectively, were obtained. Also, we obtained the cumulative MOS characteristics which represent the percentage of scores that subjects voted. Thus it is easy to achieve a strategic objective of customer satisfaction for present networks and new services.

• Phonetics and Speech Sciences
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• v.15 no.3
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• pp.69-74
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• 2023

This study introduces an innovative model for zero-shot voice conversion that utilizes the capabilities of HuBERT. Zero-shot voice conversion models can transform the speech of one speaker to mimic that of another, even when the model has not been exposed to the target speaker's voice during the training phase. Comprising five main components (HuBERT, feature encoder, flow, speaker encoder, and vocoder), the model offers remarkable performance across a range of scenarios. Notably, it excels in the challenging unseen-to-unseen voice-conversion tasks. The effectiveness of the model was assessed based on the mean opinion scores and similarity scores, reflecting high voice quality and similarity to the target speakers. This model demonstrates considerable promise for a range of real-world applications demanding high-quality voice conversion. This study sets a precedent in the exploration of HuBERT-based models for voice conversion, and presents new directions for future research in this domain. Despite its complexities, the robust performance of this model underscores the viability of HuBERT in advancing voice conversion technology, making it a significant contributor to the field.

• Journal of Broadcast Engineering
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• v.13 no.6
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• pp.849-858
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• 2008

In this paper, a no-reference perceptual metric is proposed for image quality assessment. It measures the amount of overall blockiness and blurring of the image and evaluates the amount of ringing, staircase, and mosaic noises around the strong edges. Finally, the individual scores are combined by a fuzzy integral to generate the final quality score of the image. The quality scores obtained by the proposed algorithm show strong relationship with the MOS(Mean Opinion Score) values by experts.

• The Journal of the Acoustical Society of Korea
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• v.26 no.3E
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• pp.87-96
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• 2007

In this paper we propose a new noise reduction algorithm for stationary and nonstationary noisy environments. Our algorithm classifies the speech and noise signal contributions in time-frequency bins, and is not based on a spectral algorithm or a minimum statistics approach. It relies on calculating the ratio of the standard deviation of the noisy power spectrum in time-frequency bins to its normalized time-frequency average. We show that good quality can be achieved for enhancement speech signal by choosing appropriate values for ${\delta}_t\;and\;{\delta}_f$. The proposed method greatly reduces the noise while providing enhanced speech with lower residual noise and somewhat higher mean opinion score (MOS), background intrusiveness (BAK) and signal distortion (SIG) scores than conventional methods.