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Home automation provides convenient, comfortable, energy saving, safety and security to people. Nowadays mostly home automation systems are based on English speech recognition. In northern Pakistan where majority of the people speaks Pashto and the literacy rate is very low, due to which most of the people deprived from the use of home automation. The aim of this research is to provide a friendly...
Speech Emotion Recognition technique is incredible in that it can open a way of communication between human and computer. The applications vary from educational software, psychiatric diagnosis, and interrogation to intelligent toys. It has been a long way for researchers who dedicated to search for the best models for speech emotion recognition. This paper proposes a novel hybrid model that combines...
Accent is a special trait of human speech that can deliver some information about a speaker's background. At the same time it is one of the profound factors that affects the intelligibility and performance of speech recognition systems (ASRs) if not delicately handled. Normally accent recognizer in the preceding stage offers subsystem training or adaptation strategy to improve the ASRs. Formant analysis...
Accent is a major cause of variability in automatic speaker-independent speech recognition systems. Under certain circumstances, this event introduces unsatisfactory performance of the systems. In order to circumvent this deficiency, accent analyzer in preceding stage could be a smart solution. This paper proposes a rather new approach of hybrid way to optimize the extraction of accent from speech...
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...
In this paper, we present an automatic Motherese detection system for the study of parent-infant interaction analysis. Motherese is a speech register directed towards infants and it is characterized by higher pitch, slower tempo, and exaggerated intonation. The goal of this paper is to propose and evaluate different approaches for the detection of Motherese from home movies. We investigated the characterization...
The objective of this paper is to design a system for classification of Farsi speech acts. The driving vision for this work is to provide intelligent text to Farsi speech (TTS) systems that are sensitive to the speech acts of the input texts and can pronounce the corresponding intonation correctly. Seven speech acts were considered and 3 classification methods including of (1) Naive Bayes, (2) K-Nearest...
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