Emotion Speech Recognition Based on Adaptive Fractional Deep Belief Network and Reinforcement Learning

2018 ◽  
pp. 165-174 ◽  
Author(s):  
J. Sangeetha ◽  
T. Jayasankar
Keyword(s):  
Reinforcement Learning ◽  
Speech Recognition ◽  
Deep Belief Network ◽  
Belief Network

scholarly journals Speech Recognition of Oral English Teaching Based on Deep Belief Network

2020 ◽  
Vol 15 (10) ◽  
pp. 100
Author(s):  
Jianmei Wang
Keyword(s):  
Speech Recognition ◽  
Language Learning ◽  
Teaching And Learning ◽  
Teaching Method ◽  
Evaluation Model ◽  
Speech Rate ◽  
Pearson Correlation ◽  
Deep Belief Network ◽  
Belief Network ◽  
English Teaching

The oral English teaching faces several common problems: the teaching method is very inefficient, and the learners are poor in oral English. The development of computer-aided language learning offers a possible solution to these problems. Based on techniques of speech recognition, cloud computing and deep learning, this paper applies the deep belief network (DBN) to recognize the speeches in oral English teaching, and establishes a multi-parameter evaluation model for the pronunciation quality of oral English among college students. The model combines the merits of subjective and objective evaluations, and assesses the pronunciation from four aspects: pitch, speech rate, rhythm and intonation. Finally, the proposed model was verified through speech recognition and pronunciation evaluation experiments on 26 non-English majors from a college. The results show that the proposed evaluation model output credible results, which are consistent with those of experts, as evidenced by consistency, neighbourhood consistency and Pearson correlation coefficient. The research provides a feasible way to evaluate the oral English proficiency of learners, laying the basis for improving the teaching and learning efficiency of oral English.

scholarly journals Deep Belief Network Using Reinforcement Learning and Its Applications to Time Series Forecasting

2016 ◽  
pp. 30-37 ◽  
Author(s):  
Takaomi Hirata ◽  
Takashi Kuremoto ◽  
Masanao Obayashi ◽  
Shingo Mabu ◽  
Kunikazu Kobayashi
Keyword(s):  
Time Series ◽  
Reinforcement Learning ◽  
Time Series Forecasting ◽  
Deep Belief Network ◽  
Belief Network

Acoustic modeling using deep belief network for Bangla speech recognition

2015 ◽  
Author(s):  
Mahtab Ahmed ◽  
Pintu Chandra Shill ◽  
Kaidul Islam ◽  
Md. Abdus Salim Mollah ◽  
M. A. H. Akhand
Keyword(s):  
Speech Recognition ◽  
Deep Belief Network ◽  
Acoustic Modeling ◽  
Belief Network
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