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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | VOICE DETECTOR FOR SECURITY PURPOSE IN WEB APPLICATION |
| Authors Name: | Tapadipta Roy , Rohinth Rex A , Sakaniesh Ram K , Prof. Shobarani A , Trisha Ghosh |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_180734
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| Published Paper Id: | IJNRD2203082 |
| Published In: | Volume 7 Issue 3, March-2022 |
| DOI: | |
| Abstract: | Online voice detector is a web application where we will develop detecting of voice of real owner. The Voice is a signal of many information. Digital processing of voice signal is very important for high & low speed and precise automatic voice recognition technology. Nowadays it is being used for many health care services, telephony military and people with disabilities therefore the digital signal processes such as Feature Extraction and Feature Matching are the latest many issues for study of voice signal. In order to extract valuable information from the speech signal, make decisions on the process, and obtain results, the data needs to be manipulated and analyzed. Basic method used for extracting the features of the voice signal is to find the Mel frequency cepstral coefficients. This paper is divided into two modules. Mel-frequency cepstral coefficients (MFCCs) are the coefficients that collectively represent the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency. Under the first module feature of the speech signal are extracted in the form of MFCC algorithm coefficients and in another module the non linear sequence alignment known as Dynamic Time Warping (DTW). Since it's obvious that the voice signal have different rate, the alignment is important to produce the better performance. This paper presents the feasibility of MFCC to extract features and DTW to compare the test patterns |
| Keywords: | Recording, Analyzing Voice, Application Programming Interface, Communication , Speech to Text |
| Cite Article: | " VOICE DETECTOR FOR SECURITY PURPOSE IN WEB APPLICATION", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 3, page no.668-672, March-2022, Available :http://www.ijnrd.org/papers/IJNRD2203082.pdf |
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| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2203082 Registration ID: 180734 Published In: Volume 7 Issue 3, March-2022 DOI (Digital Object Identifier): Page No: 668-672 Country: chennai, Tamil Nadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2203082 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2203082 |
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ISSN: 2456-4184
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