International Research Journal of Engineering and Technology

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International Research Journal of Engineering and Technology
(IRJET)
e-ISSN: 2395-0056
Volume: 07 Issue: 01 | Jan 2020
www.irjet.net p-ISSN: 2395-0072
 
 
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal
| Page 1203 
Segmentation in Digital Signal Processing 
Adesh Potdukhe, Prajwal Tendulkar, Prof. Prajakta Pawar
 
1,2
Student, BE Computer, 
Bharati Vidyapeeth’s College of Engineering
, Pune, India 
3
BE (CSE), MTech (CSE), 
Bharati Vidyapeeth’s College of Engineering
, Pune, India 
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Abstract -
Mankind usually invents a new era to make 
existence easier and better to stay. In this era audio 
information plays a rather important role in the increasing 
digital content that is available today, resulting in a need for 
methodologies that automatically analyze such content: audio 
event recognition for calculating the distance between two 
objects, depth, and heights of wells and valleys. Sound waves 
are a non-stationary process in nature to represent the non-
stationarity. In this report, we are using soundwaves 
properties for measuring the distance between unknown 
objects. To calculate fundamental frequencies, we used 
estimated sound waves and segmented them using 
pyAudioAnalysis. By filtering the signals which are eco of 
sound waves measure by using machine learning and digital 
signal processing. To implement segmentation, we used 
technology of digital signal processing is extensively used to 
distinct wish echo’s, noise and silence further analysis through 
signal is necessary to align and translate signal into time 
frequency graph. The fundamental frequency selection is made 
on frame basis so it is important to achieve right possible 
accuracy. This paper analyses and summarized this algorithm 
of audio segments and predict fundamental frequency of 
signal.