International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 Index
Copernicus Value (2015): 78.96 | Impact Factor (2015): 6.391, Volume 6 Issue 2, February 2017
Summary:
Audio compression has been carried out by Discrete Fourier Transform to differentiate one frequency from another. Results obtained on performing DFT of an audio speech signal has been analyzed with the help of parameters like Level Detection, Framing, Windowing, Power spectrum calculation. The approximate signal is drawn by taking the maximum frequency components of the maximum power frame. The approximate signal and the original signal are compared graphically.
Paper link: https://www.ijsr.net/archive/v6i2/ART2017951.pdf
Plagiarism link: https://drive.google.com/open?id=0B06hNCrbOenyVHZtRVl5Zkctd2s
Copernicus Value (2015): 78.96 | Impact Factor (2015): 6.391, Volume 6 Issue 2, February 2017
Summary:
Audio compression has been carried out by Discrete Fourier Transform to differentiate one frequency from another. Results obtained on performing DFT of an audio speech signal has been analyzed with the help of parameters like Level Detection, Framing, Windowing, Power spectrum calculation. The approximate signal is drawn by taking the maximum frequency components of the maximum power frame. The approximate signal and the original signal are compared graphically.
Paper link: https://www.ijsr.net/archive/v6i2/ART2017951.pdf
Plagiarism link: https://drive.google.com/open?id=0B06hNCrbOenyVHZtRVl5Zkctd2s
Good application implemented.
ReplyDeletevery informative!!
ReplyDeleteCompression of audio reduces storage space.
ReplyDeleteVery well described summary.
ReplyDeleteMemory required for storing the same audio is less.
ReplyDelete