scholarly journals Automated Speech Recognition Technology for Dialogue Interaction with Non-Native Interlocutors

2015 ◽  
Author(s):  
Alexei V. Ivanov ◽  
Vikram Ramanarayanan ◽  
David Suendermann-Oeft ◽  
Melissa Lopez ◽  
Keelan Evanini ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Speech Recognition Technology ◽  
Automated Speech Recognition

PENERAPAN TEKNOLOGY SPEECH RECOGNITION UNTUK LATIHAN PRONUNCIATION BAHASA INGGRIS MELALUI METODE DICTATION DI PROGRAM STUDI MULTIMEDIA BROADCASTING POLITEKNIK ELEKTRONIKA NEGERI SURABAYA

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Aliv Faizal M ◽  
Akhmad Alimudin
Keyword(s):  
Student Achievement ◽  
Speech Recognition ◽  
Training Sequence ◽  
English Learning ◽  
Motivation To Learn ◽  
Study Program ◽  
Face To Face ◽  
Track Record ◽  
Speech Recognition Technology ◽  
English Pronunciation

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.

Voice Assistant — Application of Speech Recognition Technology in the Android System

2014 ◽  
Vol 596 ◽  
pp. 384-387
Author(s):  
Ge Liu ◽  
Hai Bing Zhang
Keyword(s):  
Speech Recognition ◽  
Service Providers ◽  
Voice Recognition ◽  
Working Process ◽  
Bottleneck Problems ◽  
Speech Recognition Technology ◽  
Android System ◽  
The Voice

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.

scholarly journals Prototype Aplikasi Pencarian Informasi Ayat Al-Quran Berdasarkan Suara Bacaannya Berbasis Android

Repositor ◽  
2020 ◽  
Vol 2 (5) ◽  
pp. 561
Author(s):  
Fakhrul Islami ◽  
Gita Indah Marthasari ◽  
Eko Budi Cahyono
Keyword(s):  
Speech Recognition ◽  
Success Rate ◽  
Human Nature ◽  
Application Development ◽  
Speech Recognition Technology ◽  
The Future

AbstrakAplikasi Al-Quran dengan berbagai macam fitur telah banyak dikembangkan oleh para developer untuk memberikan kemudahan dan kenyamanan bagi pengguna aplikasi tersebut. Namun, inovasi untuk pengembangan aplikasi tidak akan berhenti sampai di situ saja. Dilatarbelakangi oleh sifat lupa pada manusia, seperti mengingat informasi suatu ayat: nomer ayat dan nama surah yang begitu banyak. Maka dibuatlah sebuah fitur pencarian informasi ayat Al-Qur’an dengan menggunakan suara bacaan ayatnya. Penelitian ini membahas tentang pengembangan aplikasi Al-Qur’an dengan penambahan fitur yang memanfaatkan teknologi speech recognition. Karena masih dalam bentuk prototype, aplikasi ini hanya berisi data surah sebanyak 37 surah pada juz ke-30. Pengujian aplikasi dilakukan sebanyak 10 kali percobaan dengan menggunakan beberapa ayat al-Quran secara random. Tingkat keberhasilan dari pengujian tersebut adalah 90%. Dengan demikian fitur ini dapat dijadikan solusi untuk pengembangan aplikasi Al-Qur’an kedepannya.AbstractThe Quran application with various features has been developed by devlopers to provide convenience and comfort for its users. But innovation for application development would not stop here. Due to the human nature is forgetful so it made human remember information of Quran (number of verse and the name of Quran Chapters) hardly. Then a feature of the Quran verse information was made by using the Quran recitation sound. This study discussed the development of Quran application with the addition of features of speech recognition technology. Due to the form of this application was still a prototype, it contained 37 chapters in the 30th section. The application testing was performed 10 times by using several verses of Quran randomly. The success rate of testing reached 90%. So this feature could be the solution of the Quran development in the future.

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