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This paper proposes the repeated curve-like spectrum feature in order to classify and detect objectionable sounds. Objectionable sounds in this paper refer to the audio signals generated from sexual moans and screams in various sexual scenes. For reasonable results, we define the audio-based objectionable conceptual model with six categories from which dataset of objectionable classes are constructed...
Stuttering is a speech disorder in which the normal flow of speech is disrupted by occurrences of dysfluencies, such as repetitions, interjection and so on. There are high proportion of repetitions and prolongations in stuttered speech, usually at the beginning of sentences. Consequently, acoustic analysis can be used to classify the stuttered events. This paper describes particular stuttering events...
The goal of this work is to identify famous tenors from commercial recordings. Our approach is based on training expressive singer-specific models and using them to classify new musical fragments interpreted by singers that perform arias from the training set. In this paper we focus on expressive timing variations and build the models by applying machine learning techniques to a body of data consisting...
In the present paper a comparison of two classifiers for speech signal emotion recognition is presented. Recognition was performed on emotional Berlin Database. Within this work we concentrate on the evaluation of a speaker-dependent and speaker independent emotion recognition classification. One hundred thirty three (133) speech features obtained from speech signal processing. A basic set of 35 features...
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