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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Sign Language interpreter |
| Authors Name: | Rutika Bajaj , Prof. D.S.Shingate , Anshu Singh , Gayatri Walzade , Yogita Bhavar |
| Unique Id: | IJSDR1910017 |
| Published In: | Volume 4 Issue 10, October-2019 |
| Abstract: | The aim of this project is to help the communication of two people, one hearing impaired and one without any hearing disabilities by converting speech to finger spelling and finger spelling to speech. Finger spelling is a subset of Sign Language, and uses finger signs to spell words of the spoken or written language. We aim to convert finger spelled words to speech and vice versa. Different spoken languages and sign language such as English will be considered.We propose design and initial implementation of a smart system which can automatically translates voice into text and text to sign language. Sign Language Translation Systems could significantly improve deaf lives especially in communications, exchange of information and employment of machine for translation conversations from one language to another has. Therefore, considering these points, it seems necessary to study the speech recognition. Usually, the voice recognition algorithms address three major challenges. The first is extracting feature form speech and the second is when limited sound gallery are available for recognition, and the final challenge is to improve speaker dependent to speaker independent voice recognition. Extracting feature form speech is an important stage in our method. Different procedures are available for extracting feature form speech. One of the commonest of which used in speech recognition systems is Mel-Frequency Cepstral Coefficients (MFCCs). The algorithm starts with preprocessing and signal conditioning. Next extracting feature form speech using Cepstral coefficients will be done. Then the result of this process sends to segmentation part. |
| Keywords: | Deaf Human, Sign Language Translation Systems, Humatronics, Automatic Speech Recognition |
| Cite Article: | "Sign Language interpreter", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 10, page no.89 - 92, October-2019, Available :http://www.ijsdr.org/papers/IJSDR1910017.pdf |
| Downloads: | 000337071 |
| Publication Details: | Published Paper ID: IJSDR1910017 Registration ID:191054 Published In: Volume 4 Issue 10, October-2019 DOI (Digital Object Identifier): Page No: 89 - 92 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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