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Facial and Voice Attractiveness

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Submitted By duray
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Introduction
Voice is produced by breath, vibrating the vocal folds in the larynx. It is one of the most important components of a person’s identity. Every person has different voice quality. As defined by Trask(1996), voice quality is the characteristic auditory coloring of an individual's voice, derived from a variety of laryngeal and supra laryngeal features and running continuously through the individual's speech. The natural and distinctive tone of speech sounds produced by a particular person yields a particular voice. Various studies said that voice gives clues to physical characteristics and listeners might be better at relating the two traits than they think they are. A 2002 study showed that people are able to match a speaker’s voice with a photograph over 75 percent of the time and that those people with symmetrical traits (a sign of genetic fitness) were rated as having more attractive voices. Research has also shown that listeners can detect people’s socioeconomic status, personality, and emotional/mental state from their voice, and that they can estimate age, height, and weight about as accurately from voice clips as they can from photographs. Chris Brooke and Markus Koppensteiner (2015) studied on The sound of beauty: Men can tell if a woman is attractive simply by listening to her voice. Researchers photographed the faces and recorded the voices of 42 women with an average age of 24. They found out that those who are rated highly for looks often scored well for sound too, with the study finding a ‘significant relationship between males’ ratings of female faces and voices. Findings suggest that women with an attractive face also tend to have an attractive voice. Yi Xu et.al (2013), researchers from University College London found that, at least among a sample of 32 participants, high-pitched female voices females were found to be attractive because they indicated the speaker had a small body. Deep male voices, on the other hand, were judged as more attractive because they conveyed that the speaker had a large frame—but were found to be most attractive when tempered by a touch of “breathiness,” suggesting the speaker had a low level of aggression despite his large size.
In connection to these, the researchers came up to the study Face and Voice Attractiveness: A Correlational Study. The dependent variable is the perception on visual attractiveness of the respondents. On the other hand, the independent variable is the voice quality.

Objectives
• To determine the effect of voice quality to the perception on visual attractiveness.
• To identify the factors that contributes to the perception on visual attractiveness through voice quality.
• To determine the relationship of vocal and visual attractiveness.
Methodology
I. Participants
The researchers chose the Second Year Criminology Students in Batangas State University.
I. Materials
I. Voice clips of 9 women
II. Photographs of 9 women.
III. Researchers’ self- made Questionnaire
II. Research Design The researchers will use Pre-test and Post-test Within-Subjects.
IV. Procedure Before the experimentation, the researchers discussed the basic information about the experiment. After the discussion of information, the researchers distributed their Self-made Questionnaires to the respondents.
First, the researchers flashed photos of women to the respondents. The respondents were asked to answer the given questionnaire after seeing each photograph.
Second, the researchers played the women’s voice clip to the respondents. The respondents were asked to answer the given questionnaire after listening to each voice clip.
Results and Discussion
Correlation
Face Voice
Face Pearson Correlation Sig. (2-tailed) N 1

30 -.005
.979
30
Voice Pearson Correlation Sig. (2-tailed) N -.005
.979
30 1

30
Table1. Material No.1
Table 1 shows the correlation between face and voice attractiveness of material no.1. It shows that the correlation between face and voice is -.005 which means that it is very weak negative correlated. The p-value is .979 which means that correlation is not significant at .05 level.

Correlation Face Voice
Face Pearson Correlation Sig. (2-tailed) N 1

30 .169
.373
30
Voice Pearson Correlation Sig. (2-tailed) N .169
.373
30 1

30
Table2. Material No.2 The table shows the correlation between face and voice attractiveness of material no.2. It shows that the correlation between face and voice is .169 which means that it is very weak positive correlated. The p-value is .373 which means that correlation is not significant at .05 level.
Correlation
Face Voice
Face Pearson Correlation Sig. (2-tailed) N 1

30 -.069
.716
30
Voice Pearson Correlation Sig. (2-tailed) N -.069
.716
30 1

30
Table3. Material No.3 The table shows the correlation between face and voice attractiveness of material no.3. It shows that the correlation between face and voice is -.069 which means that it is very weak negative correlated. The p-value is .716 which means that correlation is not significant at .05 level.
Correlation
Face Voice
Face Pearson Correlation Sig. (2-tailed) N 1

30 .095
.616
30
Voice Pearson Correlation Sig. (2-tailed) N .095
.616
30 1

30
Table4. Material No.4 The table shows the correlation between face and voice attractiveness of material no.4. It shows that the correlation between face and voice is .095 which means that it is very weak positive correlated. The p-value is .616 which means that correlation is not significant at .05 level.
Correlation
Face Voice
Face Pearson Correlation Sig. (2-tailed) N 1

30 .493
.006
30
Voice Pearson Correlation Sig. (2-tailed) N .493
.006
30 1

30
Table5. Material No.5 The table shows the correlation between face and voice attractiveness of material no.5. It shows that the correlation between face and voice is .493 which means that it is very strong positive correlated. The p-value is .006 which means that correlation is significant at .05 level.
Correlation
Face Voice
Face Pearson Correlation Sig. (2-tailed) N 1

30 -.372
.043
30
Voice Pearson Correlation Sig. (2-tailed) N -.372
.043
30 1

30
Table6. Material No.6 The table shows the correlation between face and voice attractiveness of material no.6. It shows that the correlation between face and voice is -.372 which means that it is negatively moderate correlated. The p-value is .043 which means that correlation is significant at .05 level.
Correlation
Face Voice
Face Pearson Correlation Sig. (2-tailed) N 1

30 -.137
.471
30
Voice Pearson Correlation Sig. (2-tailed) N -.137
.471
30 1

30
Table7. Material No.7 The table shows the correlation between face and voice attractiveness of material no.7. It shows that the correlation between face and voice is -.137 which means that it is very weak negative correlated. The p-value is .471 which means that correlation is not significant at .05 level.
Correlation
Face Voice
Face Pearson Correlation Sig. (2-tailed) N 1

30 .049
.799
30
Voice Pearson Correlation Sig. (2-tailed) N .049
.799
30 1

30
Table8. Material No.8 The table shows the correlation between face and voice attractiveness of material no.8. It shows that the correlation between face and voice is .049 which means that it is very weak positive correlated. The p-value is .799 which means that correlation is not significant at .05 level.

Correlation Face Voice
Face Pearson Correlation Sig. (2-tailed) N 1

30 -.019
.922
30
Voice Pearson Correlation Sig. (2-tailed) N -.019
.922
30 1

30
Table9. Material No.9 The table shows the correlation between face and voice attractiveness of material no.9. It shows that the correlation between face and voice is -.019 which means that it is very weak negative correlated. The p-value is .922 which means that correlation is not significant at .05 level.
Table10. Summary of the Correlations between Face and Voice Attractiveness
Material Pearson Correlation P-Value Decision on Ho Verbal Interpretation
1 -.005 .979 Failed to reject Not significant
2 .169 .373 Failed to reject Not significant
3 -.069 .716 Failed to reject Not significant
4 .095 .616 Failed to reject Not significant
5 .493 .006 Reject Significant
6 -.372 .043 Reject Significant
7 -.137 .471 Failed to reject Not significant
8 .049 .799 Failed to reject Not significant
9 -0.19 .922 Failed to reject Not significant

Conclusion
From the data gathered, the researchers found out that the correlation between face and voice attractiveness not significant. 7 out 9 materials used failed to reject the hypothesis and the remaining two rejected the hypothesis. The face and voice attractiveness of materials 1-4 and 7-9 were negatively correlated which means that as the scores in face attractiveness increases, the voice attractiveness decreases and vice versa. However, materials 5-6 were positively correlated which means that as the score in facial attractiveness increases, the voice attractiveness increases.
Recommendation
Because the result of the study is not significant, the researchers would like to recommend the future researchers to use other attractiveness factors such as physical features and attitude as variables aside from face and voice.
Discussion
This experiment entitled, “Face and Voice Attractiveness: A Correlational Study was conducted to know the correlation between face and voice attractiveness. The experimenters used Quasi – Experimental Design. The experiment used 30 respondents using convenience sampling. The result of the study is not significant and the decision for the null hypothesis is failed to reject. This study contradicted to the studies about face and voice attractiveness of Chris Brooke and Markus Koppensteiner (2015) and Yi Xu et.al (2013),

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