Baseline training sequence affects speed of emergent conditional discriminations

2019 ◽  
Vol 112 (1) ◽  
pp. 60-73
Author(s):  
Anna Ingeborg Petursdottir ◽  
Reagan E. Cox ◽  
Courtney A. McKeon ◽  
James R. Mellor
2014 ◽  
Vol E97.B (2) ◽  
pp. 476-483 ◽  
Author(s):  
Tetsuya YAMAMOTO ◽  
Fumiyuki ADACHI
Keyword(s):  

Author(s):  
Aliv Faizal M ◽  
Akhmad Alimudin

English pronunciation has long been taught through the delivery of phonetic symbols to study the sound of each phoneme in English. In Multimedia Broadcasting study program at Surabaya State Electronics Polytechnic, pronunciation has long been delivered to the students through guidebooks in the form of phonetic symbols that teach basic sound pronunciation in English. English teachers practice the sound of each phoneme directly to thestudents. After going through various observations based on the track record of student achievement of this pronunciation material, I as a teacher as well as researcher found that my student achievement was less than the desired target. This was due to the limited source of English pronunciation learning where students only learned face-to-face in the classroom. Through the use of English learning media of pronunciation interactively using speech recognition technology, it was expected that Multimedia Broadcasting course students in Surabaya State Electronics Polytechnic could improve their English pronunciation ability. After students complete the English pronunciation training sequence using pronunciation application using speech recognition technology, the data from the interview stated that the students felt more confident and improved their pronunciation ability and also felt the increased motivation to learn English pronunciation using English pronunciation learning app using speech recognition technology.Keywords: English pronunciation, teaching, multimedia, speech recognition technology, and pronunciation app.


2016 ◽  
Vol 94 (4) ◽  
pp. 3303-3325 ◽  
Author(s):  
Bilal Amin ◽  
Babar Mansoor ◽  
Syed Junaid Nawaz ◽  
Shree K. Sharma ◽  
Mohmammad N. Patwary

Author(s):  
Zhiyong Liu ◽  
Zhoumei Tan ◽  
Fan Bai

AbstractTo improve the transmission efficiency and facilitate the realization of the scheme, an adaptive modulation (AM) scheme based on the steady-state mean square error (SMSE) of blind equalization is proposed. In this scheme, the blind equalization is adopted and no training sequence is required. The adaptive modulation is implemented based on the SMSE of blind equalization. The channel state information doesn’t need to be assumed to know. To better realize the adjustment of modulation mode, the polynomial fitting is used to revise the estimated SNR based on the SMSE. In addition, we also adopted the adjustable tap-length blind equalization detector to obtain the SMSE, which can adaptively adjust the tap-length according to the specific underwater channel profile, and thus achieve better SMSE performance. Simulation results validate the feasibility of the proposed approaches. Simulation results also show the advantages of the proposed scheme against existing counterparts.


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