In order to recognize people＇s annoyance emotions in the working environment and evaluate emotional well- being, emotional speech in a work environment is induced to obtain adequate samples of emotional speech, and a...In order to recognize people＇s annoyance emotions in the working environment and evaluate emotional well- being, emotional speech in a work environment is induced to obtain adequate samples of emotional speech, and a Mandarin database with two thousands samples is built. In searching for annoyance-type emotion features, the prosodic feature and the voice quality feature parameters of the emotional statements are extracted first. Then an improved back propagation （BP） neural network based on the shuffled frog leaping algorithm （SFLA） is proposed to recognize the emotion. The recognition capability of the BP, radical basis function （RBF） and the SFLA neural networks are compared experimentally. The results show that the recognition ratio of the SFLA neural network is 4. 7% better than that of the BP neural network and 4. 3% better than that of the RBF neural network. The experimental results demonstrate that the random initial data trained by the SFLA can optimize the connection weights and thresholds of the neural network, speed up the convergence and improve the recognition rate.展开更多
This study investigates foreign learners＇ acquisition of the Chinese modal adverb fanzheng on the basis of interlanguage corpus. We find that the sentences written by foreign learners of Chinese （hereafter simplifie...This study investigates foreign learners＇ acquisition of the Chinese modal adverb fanzheng on the basis of interlanguage corpus. We find that the sentences written by foreign learners of Chinese （hereafter simplified as FLC） with the wordfanzheng are quite similar to those by Chinese native speakers in the distribution of the syntactic categories, semantic types, semantic functions, pragmatic or discourse functions. These characterize basically the wordfanzheng as one of the modal adverbs in such three aspects as syntax, semantics and pragmatics. Most of the FLCs study the basic meanings and typical contexts of the wordfanzheng at primary stage, and later the functions emphasizing reasons, summary or explaining, and then the function of textual cohesion at the intermediate and advanced stage. The main causes of errors reflect that the FLCs are not able to differentiate the usage offanzheng and that of other causal or adversative conjunctions.展开更多
基金The National Natural Science Foundation of China(No.61375028,61301219)China Postdoctoral Science Foundation(No.2012M520973)the Scientific Research Funds of Nanjing Institute of Technology(No.ZKJ201202)
文摘In order to recognize people＇s annoyance emotions in the working environment and evaluate emotional well- being, emotional speech in a work environment is induced to obtain adequate samples of emotional speech, and a Mandarin database with two thousands samples is built. In searching for annoyance-type emotion features, the prosodic feature and the voice quality feature parameters of the emotional statements are extracted first. Then an improved back propagation （BP） neural network based on the shuffled frog leaping algorithm （SFLA） is proposed to recognize the emotion. The recognition capability of the BP, radical basis function （RBF） and the SFLA neural networks are compared experimentally. The results show that the recognition ratio of the SFLA neural network is 4. 7% better than that of the BP neural network and 4. 3% better than that of the RBF neural network. The experimental results demonstrate that the random initial data trained by the SFLA can optimize the connection weights and thresholds of the neural network, speed up the convergence and improve the recognition rate.
文摘This study investigates foreign learners＇ acquisition of the Chinese modal adverb fanzheng on the basis of interlanguage corpus. We find that the sentences written by foreign learners of Chinese （hereafter simplified as FLC） with the wordfanzheng are quite similar to those by Chinese native speakers in the distribution of the syntactic categories, semantic types, semantic functions, pragmatic or discourse functions. These characterize basically the wordfanzheng as one of the modal adverbs in such three aspects as syntax, semantics and pragmatics. Most of the FLCs study the basic meanings and typical contexts of the wordfanzheng at primary stage, and later the functions emphasizing reasons, summary or explaining, and then the function of textual cohesion at the intermediate and advanced stage. The main causes of errors reflect that the FLCs are not able to differentiate the usage offanzheng and that of other causal or adversative conjunctions.
