Automatic language identification using HMM

Download
2001
Gazi, Orhan

Suggestions

Automatic speech segmentation and database annotation.
Özbek, İ. Yücel; Demirekler, Mübeccel; Department of Electrical and Electronics Engineering (2002)
Automatic Speech Emotion Recognition using Auditory Models with Binary Decision Tree and SVM
Yuncu, Enes; Hacıhabiboğlu, Hüseyin; Bozsahin, Cem (2014-08-28)
Affective computing is a term for the design and development of algorithms that enable computers to recognize the emotions of their users and respond in a natural way. Speech, along with facial gestures, is one of the primary modalities with which humans express their emotions. While emotional cues in speech are available to an interlocutor in a dyadic conversation setting, their subjective recognition is far from accurate. This is due to the human auditory system which is primarily non-linear and adaptive....
AUTOMATIC BUILDING DETECTION WITH FEATURE SPACE FUSION USING ENSEMBLE LEARNING
Senaras, Caglar; Yuksel, Baris; Ozay, Mete; Yarman-Vural, Fatos (2012-07-27)
This paper proposes a novel approach to building detection problem in satellite images. The proposed method employs a two layer hierarchical classification mechanism for ensemble learning. After an initial segmentation, each segment is classified by N different classifiers using different features at the first layer. The class membership values of the segments, which are obtained from different base layer classifiers, are ensembled to form a new fusion space, which forms a linearly separable simplex. Then, ...
Automatic detection of learning styles for an e-learning system
OZPOLAT, Ebru; Akar, Gözde (2009-09-01)
A desirable characteristic for an e-learning system is to provide the learner the most appropriate information based on his requirements and preferences. This can be achieved by capturing and utilizing the learner model. Learner models can be extracted based on personality factors like learning styles, behavioral factors like user's browsing history and knowledge factors like user's prior knowledge. In this paper, we address the problem of extracting the learner model based on Felder-Silverman learning styl...
Automatic cell counting from microchannel images
Ertürk, İzzet Fatih; Akar, Gözde; Külah, Haluk; Department of Electrical and Electronics Engineering (2022-2)
Cell counting is an important method used in many fields such as disease diagnosis in medicine. For example, the number of white blood cells in the blood gives information that there is a disease in the body. There are manual and automatic methods developed for cell counting. Although manual methods take a lot of time and are prone to error, they are preferred in many areas because they are less expensive than other methods. However, automated cell counting methods such as flow cytometry have been developed...
Citation Formats
O. Gazi, “Automatic language identification using HMM,” Middle East Technical University, 2001.