VOICE DETECTOR FOR SECURITY PURPOSE IN WEB APPLICATION

Registration ID: IJNRD_180734

Published ID: IJNRD2203082

DOI: Click Here to Get

Tapadipta Roy , Rohinth Rex A , Sakaniesh Ram K , Prof. Shobarani A , Trisha Ghosh

Recording, Analyzing Voice, Application Programming Interface, Communication , Speech to Text

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

Published Paper   E-Certificate

Tapadipta Roy, Rohinth Rex A, Sakaniesh Ram K, Prof. Shobarani A, & Trisha Ghosh (March-2022). VOICE DETECTOR FOR SECURITY PURPOSE IN WEB APPLICATION. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(3), 668-672. https://ijnrd.org/papers/IJNRD2203082.pdf

Volume 7 Issue 3, March-2022

Pages : 668-672

Paper Reg. ID: IJNRD_180734

Published Paper Id: IJNRD2203082

Downloads: 000121982

Research Area: Engineering

Country: chennai, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2203082.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2203082

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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