Beloved is a landmark work written by Toni Morrison. To analyze the psychological trauma of American black people in Beloved, it is uncovered that American black people need to establish self-awareness and self-cognit...Beloved is a landmark work written by Toni Morrison. To analyze the psychological trauma of American black people in Beloved, it is uncovered that American black people need to establish self-awareness and self-cognition and rebuild self cultural systems and self-values, so that they could develop their social status and finally get rid of discrimination and oppression.展开更多
This paper is an attempt to bring to the foreground a better understanding and appreciation of the work and impact of an Arab Muslim woman writer whose work, characters, thoughts, settings, and words sink very sensiti...This paper is an attempt to bring to the foreground a better understanding and appreciation of the work and impact of an Arab Muslim woman writer whose work, characters, thoughts, settings, and words sink very sensitively into the depth of being of her oriental women characters. They are very local and they reflect a typical oriental and distinct religious sentiment, along with an underlying predicament or suffering because of some lack in their love life, both emotional and sexual. This paper will attempt to analyze how the short story written by Alifa Rifaat （1987） deal with the thorny issues Of religiosity and sexuality that might appear as two opposing poles, yet they mix and blend within same characters exposing different aspects of the human being living within dilemmas of personal needs and social dictates of tradition, taboo, and culture. For a non Arab reader, this should be an interesting and informative cross-cultural issue.展开更多
In conventional source-filter models, voiced and unvoiced components were considered independently. However, in practice it was difficult to separate the source into two parts. An actual source consists of a mixture o...In conventional source-filter models, voiced and unvoiced components were considered independently. However, in practice it was difficult to separate the source into two parts. An actual source consists of a mixture of two sources and the ratio varies according to the content or the intention of speaker. It had been investigated to separate the voiced and unvoiced components for different source models. Source signals were modeled based on the residual signal measured from inverse filtering. Three different source models were assumed. The parameters of each model were optimized for the original speech signal using a genetic algorithm. The resulting parameters were compared in terms of the mel-cepstral distance to the original signal, the spectrogram and the spectral envelope from the synthesized signal. The optimization method achieves an improvement of 15% for the Klatt model, but there is little improvement in the modified residual case.展开更多
In this paper, a new method for making v/uv decision is developed which uses a multi-feature v/uv classification algorithm based on the analysis of cepstral peak, zero crossing rate, and autocorrelation function (ACF)...In this paper, a new method for making v/uv decision is developed which uses a multi-feature v/uv classification algorithm based on the analysis of cepstral peak, zero crossing rate, and autocorrelation function (ACF) peak of short-time segments of the speech signal by using some clustering methods. This v/uv classifier achieved excellent results for identification of voiced and unvoiced segments of speech.展开更多
文摘Beloved is a landmark work written by Toni Morrison. To analyze the psychological trauma of American black people in Beloved, it is uncovered that American black people need to establish self-awareness and self-cognition and rebuild self cultural systems and self-values, so that they could develop their social status and finally get rid of discrimination and oppression.
文摘This paper is an attempt to bring to the foreground a better understanding and appreciation of the work and impact of an Arab Muslim woman writer whose work, characters, thoughts, settings, and words sink very sensitively into the depth of being of her oriental women characters. They are very local and they reflect a typical oriental and distinct religious sentiment, along with an underlying predicament or suffering because of some lack in their love life, both emotional and sexual. This paper will attempt to analyze how the short story written by Alifa Rifaat （1987） deal with the thorny issues Of religiosity and sexuality that might appear as two opposing poles, yet they mix and blend within same characters exposing different aspects of the human being living within dilemmas of personal needs and social dictates of tradition, taboo, and culture. For a non Arab reader, this should be an interesting and informative cross-cultural issue.
基金supported by the Second Stage of Brain Korea 21 Projects
文摘In conventional source-filter models, voiced and unvoiced components were considered independently. However, in practice it was difficult to separate the source into two parts. An actual source consists of a mixture of two sources and the ratio varies according to the content or the intention of speaker. It had been investigated to separate the voiced and unvoiced components for different source models. Source signals were modeled based on the residual signal measured from inverse filtering. Three different source models were assumed. The parameters of each model were optimized for the original speech signal using a genetic algorithm. The resulting parameters were compared in terms of the mel-cepstral distance to the original signal, the spectrogram and the spectral envelope from the synthesized signal. The optimization method achieves an improvement of 15% for the Klatt model, but there is little improvement in the modified residual case.
文摘In this paper, a new method for making v/uv decision is developed which uses a multi-feature v/uv classification algorithm based on the analysis of cepstral peak, zero crossing rate, and autocorrelation function (ACF) peak of short-time segments of the speech signal by using some clustering methods. This v/uv classifier achieved excellent results for identification of voiced and unvoiced segments of speech.
