Research Paper | Signal Processing | United Kingdom | Volume 9 Issue 1, January 2020
Enhancing the Quality of Sound using Fast Fourier Transform in Python
Criton Jose Kallukkaran, Yashraj Morde
Audio information plays an important role in the increasing digital content that is available today, resulting in a need for methodologies that automatically analyse such content like music information retrieval, audio-visual analysis of online videos for content-based recommendation. This report presents the use of fast Fourier transform (FFT) to improve the quality of voice. Motivation: Sound is an essential part of life. While shooting a video and sound in an outdoor location, recording high quality audio can be difficult. Using FFT to increase the amplitudes of the harmonics to improve the quality of the voice and bringing it to a desired standard is essential.
Keywords: fast Fourier transform, harmonics, fundamental frequencies, Noise reduction, Voice amplification
Edition: Volume 9 Issue 1, January 2020
Pages: 1873 - 1876
How to Cite this Article?
Criton Jose Kallukkaran, Yashraj Morde, "Enhancing the Quality of Sound using Fast Fourier Transform in Python", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20204367, Volume 9 Issue 1, January 2020, 1873 - 1876
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