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Since many Apiaceae plants, with antimicrobial activities, have similar characteristics, it is difficult to separate them from one another. The aim of this study is to distinguish different kinds of Apiaceae plants by an electronic nose (EN) and multivariate statistical analyses. The dynamic response of a metal oxide sensor array to Apiaceae plants showed that the response values and different kinds...
This study reviews the features used in the previous Automated Essay Scoring (AES) system, and attempts to develop a new linguistic feature-thematic feature for AES systems. According to Functional Grammar, theme is the point of departure for message, the element with which the clause is concerned. The thematic structure is an important method to promote essay coherence, and to present the message...
The HMM-based TTS can produce a highly intelligible and decent quality voice. However, sometimes the synthesized speech exhibits perceptibly annoying glitches due to F0 extraction errors in the training data and voiced/unvoiced swapping errors in F0 generation. In the conventional MSD based F0 modeling [10], the dual but incompatible two probabilistic spaces, the continuous probability density for...
This paper tries to deal with the problem of performance degradation in emotion affected speech recognition. The F-ratio analysis method in statistics is utilized to analyze the significance of different frequency bands for speech unit classification. The result is then used to optimize filter bank design for Mel-frequency cepstral coefficients (MFCC) and perceptual linear prediction (PLP) features...
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