International Research Journal of Engineering and Technology

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 1206 
3. Proposed Flow Model Based on Segmentation: 
4. CONCLUSION 
The paper presents selected aspects of Audio classification 
i.e segmentation algorithm, pre-classification step, feature 
extraction step, and steps used for discrimination are 
discussed. The result showed a wide range of audio analysis 
functionalities that can be used in several applications. Using 
segmentation one can classify an unknown audio segment to 
a set of predefined classes. Also, segmentation of an audio 
recording can classify homogeneous segments and remove 
silence areas from an audio recording. 
ACKNOWLEDGEMENT
A
LL THE PROJECT MEMBERS EXPRESS THEIR DEEP SENSE OF GRATITUDE 
TO 
D
R
.
R.
N.
P
ATIL 
(T
HE 
P
RINCIPAL OF 
B
HARATI 
V
IDYAPEETH 
C
OLLEGE OF 
E
NGINEERING 
L
AVALE
),
P
ROF
.
U
DAY 
P
ATKAR 
(D
EPARTMENT 
H
EAD
),
P
ROF
.
P
RAJAKTA 
P
AWAR FOR HER KEEN 
INTEREST IN PROMOTING OUR PROJECT IN 
S
AVITRIBAI 
P
HULE 
UNIVERSITY AND HAVE ALWAYS BEEN AN INSPIRATION FOR ACHIEVING 
GREAT HEIGHTS
.
 
REFERENCES 
[1]
pyAudioAnalysis: An Open-Source Python Library for Audio 
Signal Analysis by Theodoros Giannakopoulos * 
Computational Intelligence Laboratory, Institute of 
Informatics and Telecommunications, NCSR Demokritos, 
Patriarchou 
Grigoriou 
and 
Neapoleos 
St,AghiaParaskevi,Athens,15310,Greece 
[2]
Multi-Channel EEG Signal Segmentation and Feature 
Extraction Ale
ˇs Proch´azka∗
, Martina Mudrov´ a
∗, Oldˇrich 
Vyˇsata∗∗
, Robert H´ ava
∗
, and Carmen Paz Su´ arez Araujo
∗∗∗
∗
Institute of Chemical Technology in Prague, Department of 
Computing and Control Engineering, 
[3]
Automatic initial segmentation of speech signal based on 
symmetric matrix of distances D.Peleshko, Y.Pelekh, 
M.Rashkevych, Y.Ivanov, I.Verbenko Professor, Dmytro 
Peleshko, Department of Publishing Information 
Technologies, Institute of Computer Science and Information 
Technologies, Lviv Polytechnic National University, Lviv, 
Ukraine. 
[4]
Dorohin, 
О.А., Starushko, D.H., Fedorov, Е.Е., Shelepov, V.Y. 
2000 The segmentation of the speech signal. "Artificial 
Intelligence".
–
№3. –
450- 458 pp. 
[5]
Performance analysis of character segmentation approach for 
cursive script recognition on benchmark database Amjad 
Rehman
∗
, Tanzila Saba Department of Computer Graphics 
and Multimedia, Universiti Teknologi Malaysia, Skudai, 
Malaysia.