Using speech recognition technology to support education for deaf students

Author(s):  
Wu xiao fen ◽  
Xu jia cheng
2019 ◽  
Vol 11 (3) ◽  
pp. 64-78
Author(s):  
Jiling Tang ◽  
Ping Feng ◽  
Zhanlei Li

This article analyzes the application of Chinese speech recognition technology in a non-barrier education system, and studies the construction of bi-modal database for a barrier-free teaching system. Barrier-free teaching is a term used to define systems that are designed to assist deaf students, while bi-modal approaches use both audio and video to assist learning. Based on a case study of a curriculum named “Foundations of Photoshop,” the article creates a corpus to make acquisition of experimental data and annotation of corpora. Meanwhile, the authors analyze and design the organization of data and build an essential dictionary and grammar network in the recognition system.


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.


2014 ◽  
Vol 596 ◽  
pp. 384-387
Author(s):  
Ge Liu ◽  
Hai Bing Zhang

This paper introduces the concept of Voice Assistant, the voice recognition service providers, several typical Voice Assistant product, and then the basic working process of the Voice Assistant is described in detail and proposed the technical bottleneck problems in the development of Voice Assistant software.


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