Evaluation of speech signal features extraction methods
2020 ◽
Vol 2
(1)
◽
pp. 69-78
Keyword(s):
Human speech digital signals are famous and important digital types, they are used in many vital applications which require a high speed processing, so creating a speech signal features is a needed issue. In this research paper we will study more widely used methods of features extraction, we will implement them, and the obtained experimental results will be compared, efficiency parameters such as extraction time and throughput will be obtained and a speedup of each method will be calculated. Speech signal histogram will be used to improve some methods efficiency.
Keyword(s):
2007 ◽
Vol 340-341
◽
pp. 283-288
◽
1996 ◽
Vol 61
(6)
◽
pp. 856-867
◽
Keyword(s):
2011 ◽
Vol 130-134
◽
pp. 2245-2248
Keyword(s):
2008 ◽
Vol 17
(03)
◽
pp. 315-328
◽
Keyword(s):
2011 ◽
Vol 47
(10)
◽
pp. 4469-4472
◽
Keyword(s):
2009 ◽
Vol 69-70
◽
pp. 379-383
◽