Zobrazeno 1 - 10
of 143
pro vyhledávání: '"Sayadiyan, A."'
Recently, Adaboost has been widely used to improve the accuracy of any given learning algorithm. In this paper we focus on designing an algorithm to employ combination of Adaboost with Support Vector Machine as weak component classifiers to be used i
Externí odkaz:
http://arxiv.org/abs/0812.2575
Applications such as face recognition that deal with high-dimensional data need a mapping technique that introduces representation of low-dimensional features with enhanced discriminatory power and a proper classifier, able to classify those complex
Externí odkaz:
http://arxiv.org/abs/0812.2574
In this paper, we discuss the issues in automatic recognition of vowels in Persian language. The present work focuses on new statistical method of recognition of vowels as a basic unit of syllables. First we describe a vowel detection system then bri
Externí odkaz:
http://arxiv.org/abs/0812.2411
Publikováno v:
In Computer Speech & Language July 2018 50:105-125
Publikováno v:
In Speech Communication July 2017 91:28-48
Autor:
Ghorbandoost, Mostafa, Sayadiyan, Abolghasem, Ahangar, Mohsen, Sheikhzadeh, Hamid, Shahrebabaki, Abdoreza Sabzi, Amini, Jamal
Publikováno v:
In Speech Communication March 2015 67:113-128
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 2, Iss 1, Pp 1-10 (2010)
In this paper, we propose a low-complexity model-based single-channel audio separation approach. The proposed method presents three certain advantages over previous methods: I) replacing commonly used linear masks like Wiener filtering by a proposed
Externí odkaz:
https://doaj.org/article/df06c36399664987a8ef48218a2a962b
Publikováno v:
In Neurocomputing 2008 72(1):71-78
Publikováno v:
Computer Speech & Language. 50:105-125
From both perspectives of speech production and speech perception, vowels as syllable nuclei can be considered as the most significant speech events. Detection of vowel events from a speech signal is usually performed by a two-step procedure. First,
Publikováno v:
In Speech Communication 2007 49(6):464-476