• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2012.10a
• /
• pp.63-65
• /
• 2012

본 논문에서는 입력된 음성이 남성화자인지 여성화자인지를 구분하는 FFT 스펙트럼 및 LPC 켑스트럼 입력에 의한 성별인식 알고리즘을 제안한다. 본 논문에서는 특히 남성화자와 여성화자의 특징벡터를 비교 분석하여, 이러한 남녀의 음향학적인 특징벡터의 차이점을 이용하여 신경회로망에 의한 성별 인식에 대한 실험을 수행한다. 특히 12차의 LPC 켑스트럼 및 8차의 저역 FFT 스펙트럼의 특징벡터를 사용한 경우에, 남성화자 및 여성화자에 대해서 양호한 남녀 성별인식률이 구해졌다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2004.04b
• /
• pp.919-921
• /
• 2004

본 논문은 사람 이름의 특성을 이용한 이름 인식과 이름의 성별 구분 방법에 대해 제안한다 사랑 이름을 묻는 질의문은 질의-응답 시스템에서 자주 나타난다. 모든 사람 이름을 사전에 등록하는 것은 어렵다. 경우에 따라서는 남녀 이름을 구분할 필요가 있다. 한국 사람 이름의 특성은 주로 3음절로 이루어져 있고. 성씨로 사용되는 음절의 수가 제한적이라는 것이다. 또한 이름에는 한자 독음이 많이 쓰이고, 남자 이름으로 자주 쓰이는 음절과 절자 이름으로 자주 쓰이는 음절이 있다. 이러한 특성을 이용하여 사람 이름 인식과 성별 구분을 수행한다. 일반 웹 문서에서의 실험 결과, 이름 인식의 정확률은 94%를 보였고, 남녀 이름 구분의 정확률은 98%를 보였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2012.05a
• /
• pp.887-890
• /
• 2012

본 논문에서는 켑스트럼 계수의 변화에 따른 남성화자와 여성화자의 음향학적인 특징벡터를 비교하여 분석하는 기초적인 연구를 수행한다. 특히 FFT 켑스트럼 및 LPC 켑스트럼에 대한 남녀의 음향학적인 특징벡터의 차이점을 나타낸다. 향후 이러한 차이점을 기초로 하여 신경회로망 등에 의한 성별 인식에 대한 연구를 수행함으로써 남성화자 및 여성화자를 분리할 수 있는 근거를 마련하는 기초연구이다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2013.05a
• /
• pp.515-517
• /
• 2013

본 논문에서는 잡음 환경 하에서 남녀 성별인식이 가능한 신경회로망에 의한 화자종속 음성인식 알고리즘을 제안한다. 본 논문에서 제안한 음성인식 알고리즘은 남성화자 및 여성화자를 인식하기 위하여 LPC 켑스트럼 계수를 사용하여 신경회로망에 의하여 학습된다. 본 실험에서는 백색잡음 및 자동차잡음에 대하여 신경회로망의 네크워크에 대한 인식결과를 나타낸다. 인식실험의 결과로부터 백색잡음에 대해서는 최대 96% 이상의 인식률, 자동차잡음에 대해서는 최대 88% 이상의 인식률을 구하였다.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.5 no.6
• /
• pp.568-574
• /
• 2010

In an effort to improve the speech recognition rate, we investigated performance comparison between speaker-independent and gender-specific speech recognitions. For this purpose, 20 male and 20 female speakers each pronounced 300 isolated Korean words and the speeches were divided into 4 groups: female, male, and two mixed genders. To examine the validity for the gender-specific speech recognition, Fourier spectrum and MFCC feature vectors averaged over male and female speakers separately were examined. The result showed distinction between the two genders, which supports the motivation for the gender-specific speech recognition. In experiments of speech recognition rate, the error rate for the gender-specific case was shown to be less than50% compared to that of the speaker-independent case. From the obtained results, it might be suggested that hierarchical recognition of gender and speech recognition might yield better performance over the current method of speech recognition.

• Journal of the Korea Convergence Society
• /
• v.11 no.11
• /
• pp.385-391
• /
• 2020

This study aimed to identify gender differences in sexual harassment awareness, sexual attitude, and correlation between them among college students. Data were collected in a 4-year university in Jeollanam-do and a total of 127 female and 93 male college students participated in this study in April, 2018. Descriptive statistics, independent t-test, and Pearson's correlation coefficient were used for data analysis. Male students' level of sexual harassment awareness were lower than femal's (p<.001). Male's sexual attitude was more conservative, but difference of sexual attitude between male and female was not statistically significant (p=.073). This study presented that the more conservative sexual attitude was related to the higher level of sexual harassment awareness in male group. On the contrary, the more conservative sexual attitude was related to the lower level of sexual harassment awareness in female group. It is necessary to develop a gender-specific sexual harassment prevention education program.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.17 no.4
• /
• pp.775-780
• /
• 2013

This paper proposes a speaker-dependent speech recognition algorithm which can classify the gender for male and female speakers in white noise and car noise, using a neural network. The proposed speech recognition algorithm is trained by the neural network to recognize the gender for male and female speakers, using LPC (Linear Predictive Coding) cepstrum coefficients. In the experiment results, the maximal improvement of total speech recognition rate is 96% for white noise and 88% for car noise, respectively, after trained a total of six neural networks. Finally, the proposed speech recognition algorithm is compared with the results of a conventional speech recognition algorithm in the background noisy environment.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.16 no.7
• /
• pp.1370-1376
• /
• 2012

This paper proposes a gender recognition algorithm which classifies a male or female speaker. In this paper, characteristic vectors for the male and female speaker are analyzed, and recognition experiments for the proposed gender recognition by a neural network are performed using these characteristic vectors for the male and female. Input characteristic vectors of the proposed neural network are 10 LPC (Linear Predictive Coding) cepstrum coefficients, 12 LPC cepstrum coefficients, 12 FFT (Fast Fourier Transform) cepstrum coefficients and 1 RMS (Root Mean Square), and 12 LPC cepstrum coefficients and 8 FFT spectrum. The proposed neural network trained by 20-20-2 network are especially used in this experiment, using 12 LPC cepstrum coefficients and 8 FFT spectrum. From the experiment results, the average recognition rates obtained by the gender recognition algorithm is 99.8% for the male speaker and 96.5% for the female speaker.

• Cartoon and Animation Studies
• /
• s.47
• /
• pp.103-123
• /
• 2017

In recent years, some of the brands of cosmetics in Korea have launched the BB Cream only for man. Cosmetics is not only necessary for woman and it has been accepted by the male. A programme hosted by 김기수 is aimed to teach the female how to make up. As a result, the comprehension of the gender and the development of the times have been combined closely. The understanding of gender has been developed from binary opposition to the diversity of gender. The movements that were aimed at advocating feminism caused by some events reminded us of that we should pay attention to the equalization of the gender. We can see that people want to liberate themselves from the sexual stereotype through these social phenomenons. Meanwhile, animation advertising has also experienced a transformation, which is from that to shape a role under sexual stereotype to that to pay more attention to the diversity of gender during the progress of shaping a role. During the initial stage of the animation advertising's prosperity, what it described was based on the male. The male was the permanent theme. On the contrary, the female only played a subordinate role. However, with the development of feminism, to realize self-worth of the female and to fight for the gender equality have been mentioned more and more frequently. All these factors have prompted the animation advertising to break the stereotype when shaping a new role and change the sexual stereotype in order to create new animation figures.

• Korean Journal of Culture and Social Issue
• /
• v.26 no.4
• /
• pp.351-378
• /
• 2020

The purpose of the study was to identify the latent classes of meta-awareness of gender discrimination among Korean young adults using Latent Profile Analysis based on 'perceived ambivalence toward men among women', 'perceived ambivalent sexism among men', 'perceived gender(reverse-) discrimination in Korea'. After identifying the latent classes, the difference between gender role conflict, sense of distance from the opposite sex, and support for gender discrimination issues were explored among the classified groups. As a result, 3 latent classes among women and 2 latent classes among men were identified. Latent classes among women were named 'women with low sensitivity of sexism', 'women with high sensitivity of sexism' and 'women against sexism' and latent classes among men were named 'men with perception of gender equality', 'men with perception of reverse discrimination'. Types with higher levels of meta-awareness of gender discrimination were related with higher gender role conflict and higher sense of distance from the opposite sex. Among women, types with higher levels of meta-awareness of gender discrimination perceived higher levels of gender discrimination and showed more support for gender discrimination issues while among men, types with higher levels of meta-perception of gender discrimination only perceived higher levels of reverse discrimination. Based on the present findings, implications about the severe gender conflict among Korean young adults are further discussed in the article.