A Novel Technique for Speech Recognition and Visualization Based Mobile Application to Support Two-Way Communication between Deaf-Mute and Normal Peoples
المؤلفون المشاركون
Rehman, A.
Saba, T.
Rashid, Muhammad
Mehmood, Zahid
Yousaf, Kanwal
Altaf, Muhammad
Zhang, Shuguang
المصدر
Wireless Communications and Mobile Computing
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-05-24
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Mobile technology is very fast growing and incredible, yet there are not much technology development and improvement for Deaf-mute peoples.
Existing mobile applications use sign language as the only option for communication with them.
Before our article, no such application (app) that uses the disrupted speech of Deaf-mutes for the purpose of social connectivity exists in the mobile market.
The proposed application, named as vocalizer to mute (V2M), uses automatic speech recognition (ASR) methodology to recognize the speech of Deaf-mute and convert it into a recognizable form of speech for a normal person.
In this work mel frequency cepstral coefficients (MFCC) based features are extracted for each training and testing sample of Deaf-mute speech.
The hidden Markov model toolkit (HTK) is used for the process of speech recognition.
The application is also integrated with a 3D avatar for providing visualization support.
The avatar is responsible for performing the sign language on behalf of a person with no awareness of Deaf-mute culture.
The prototype application was piloted in social welfare institute for Deaf-mute children.
Participants were 15 children aged between 7 and 13 years.
The experimental results show the accuracy of the proposed application as 97.9%.
The quantitative and qualitative analysis of results also revealed that face-to-face socialization of Deaf-mute is improved by the intervention of mobile technology.
The participants also suggested that the proposed mobile application can act as a voice for them and they can socialize with friends and family by using this app.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yousaf, Kanwal& Mehmood, Zahid& Saba, T.& Rehman, A.& Rashid, Muhammad& Altaf, Muhammad…[et al.]. 2018. A Novel Technique for Speech Recognition and Visualization Based Mobile Application to Support Two-Way Communication between Deaf-Mute and Normal Peoples. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1215706
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yousaf, Kanwal…[et al.]. A Novel Technique for Speech Recognition and Visualization Based Mobile Application to Support Two-Way Communication between Deaf-Mute and Normal Peoples. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1215706
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yousaf, Kanwal& Mehmood, Zahid& Saba, T.& Rehman, A.& Rashid, Muhammad& Altaf, Muhammad…[et al.]. A Novel Technique for Speech Recognition and Visualization Based Mobile Application to Support Two-Way Communication between Deaf-Mute and Normal Peoples. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1215706
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1215706
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر