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Identifying the phonetic characteristics of speakers is an important branch of speech recognition. The audition system of human being is an ideal speaker recognition system. MFCC (Mel-frequency cepstral coefficients) characterizes the auditory features of humans effectively, and thus has been widely used in practice. This paper explores applying MFCC and VQ (vector quantization) algorithms on the...
Affective computing has been investigated by many to allow computers to respond to or react to human or user emotion. In this paper, a model of personality and emotion was proposed based on the architecture of a cognitive system. Considering the external and internal factors of a virtual agent, formalized description of the emotional model was built. Experiment results indicated that the emotion generated...
Mandarin objective assessment plays a very important role in the speech assessment. It still has a long way to go before it reaches the level of success. In this paper, the novel mandarin objective assessment based on Support Vector Machine (SVM) is proposed. The mandarin pronunciation is divided into consonant, vowel and tone. And the feature parameters of pronunciation are surveyed. The experimental...
With the global economic integration, China's private enterprises have been playing a significant role in the market economy. The performance of the production line workers in the private enterprise is related directly to the advance of the organizational performance. However, the existing performance evaluation indicators are generally less related to the organizational goal. It is difficult for...
Objective quality assessment plays a very important role in the video applications, as they promise the means to evaluate the performance of acquisition, display, coding and communication systems. Objective video quality assessment still has a long way to go before it reaches the level of success. In this paper, we propose novel quality metrics for video sequences. This metrics are capable of capturing...
Digital video has pervaded the lives of people due to the popularity of applications. In this paper, we propose novel objective quality metrics for video sequences. This metrics are capable of capturing spatial distortions in video sequences, in addition to temporal artifacts. And they can quantify the spatial distortions and differentiate the type of distortion. Furthermore the metrics correlate...
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