Investigating fuzzy-input fuzzy-output support vector machines for robust voice quality classification
نویسندگان
چکیده
Investigating fuzzy-input fuzzy-output support vector machines for robust voice quality classification Stefan Scherer a,c,∗, John Kane b, Christer Gobl b, Friedhelm Schwenker c a University of Southern California, Institute for Creative Technologies, 90094 Playa Vista, CA, United States b Trinity College Dublin, Phonetics and Speech Laboratory, School of Linguistic, Speech and Communication Sciences, Dublin 2, Ireland c Ulm University, Institute of Neural Information Processing, 89069 Ulm, Germany
منابع مشابه
Robustified distance based fuzzy membership function for support vector machine classification
Fuzzification of support vector machine has been utilized to deal with outlier and noise problem. This importance is achieved, by the means of fuzzy membership function, which is generally built based on the distance of the points to the class centroid. The focus of this research is twofold. Firstly, by taking the advantage of robust statistics in the fuzzy SVM, more emphasis on reducing the im...
متن کاملFuzzy-Input Fuzzy-Output One-Against-All Support Vector Machines
We present a novel approach for Fuzzy-Input Fuzzy-Output classification. One-Against-All Support Vector Machines are adapted to deal with the fuzzy memberships encoded in fuzzy labels, and to also give fuzzy classification answers. The mathematical background for the modifications is given. In a benchmark application, the recognition of emotions in human speech, the accuracy of our F-SVM approa...
متن کاملA QUADRATIC MARGIN-BASED MODEL FOR WEIGHTING FUZZY CLASSIFICATION RULES INSPIRED BY SUPPORT VECTOR MACHINES
Recently, tuning the weights of the rules in Fuzzy Rule-Base Classification Systems is researched in order to improve the accuracy of classification. In this paper, a margin-based optimization model, inspired by Support Vector Machine classifiers, is proposed to compute these fuzzy rule weights. This approach not only considers both accuracy and generalization criteria in a single objective fu...
متن کاملThe Effect of Fuzzy Training Targets on Voice Quality Classification
The dynamic use of voice qualities in spoken language can reveal useful information on a speaker’s attitude, mood and affective states. This information may be desirable for a range of speech technology applications. However, annotation of voice quality may frequently be inconsistent across raters. But whom should one trust or is the truth somewhere in between? The current study looks first to ...
متن کاملFuzzy one-class support vector machines
In one-class classification, the problem is to distinguish one class of data from the rest of the feature space. It is important in many applications where one of the classes is characterized well, while no measurements are available for the other class. Schölkopf et al. first introduced a method of adapting the support vector machine (SVM) methodology to the one-class classification problem, c...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Computer Speech & Language
دوره 27 شماره
صفحات -
تاریخ انتشار 2013