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Key form features are relative to the style of product, and the expression on style features depicts the product description and is a measurement of attribute knowledge. The uncertainty definition leads to an improved and effective product style retrieval when combined with fuzzy sets. First, a style knowledge and features database are constructed using fuzzy case-based reasoning technology; a similarity...
Research in open-set language identification (LID) generally focuses more on accurate in-set language modeling versus improved out-of-set (OOS) language rejection. The main reason for this is the increased cost/resources in collecting sufficient OOS data, versus the in-set languages of interest. Therefore, unknown or OOS language rejection is a challenge. To address this through efficient data collection,...
This paper proposes a cascading deep neural network (DNN) structure for speech synthesis system that consists of text-to-bottleneck (TTB) and bottleneck-to-speech (BTS) models. Unlike conventional single structure that requires a large database to find complicated mapping rules between linguistic and acoustic features, the proposed structure is very effective even if the available training database...
Using speech or text to predict articulatory movements can have potential benefits for speech related applications. Many approaches have been proposed to solve the acoustic-to-articulatory inversion problem, which is much more than the exploration for predicting articulatory movements from text. In this paper, we investigate the feasibility of using deep neural network (DNN) for articulartory movement...
The goal of the study is to predict acoustic features of expressive speech from semantic vector space representations. Though a lot of successful work was invested in expressiveness analysis and prediction, the results often involve manual labeling, or indirect prediction evaluation such as speech synthesis. The proposed analysis aims at direct acoustic feature prediction and comparison to original...
A framework for extracting semantic relational words in Bangla is presented in this paper. Here extraction of Synonyms, Antonyms, Hyponym, Hypernym, Meronym, Holonym and Polysemy are primarily investigated as a rule based model. For every word two other things: concept and parts of speech category are also presented for clarification. A semantic analyzer is used to extract these relations from nouns,...
Affective computing opens a new area of research in computer science with the aim to improve the way how humans and machines interact. Recognition of human emotions by machines is becoming a significant focus in recent research in different disciplines related to information sciences and Human-Computer Interaction (HCI). In particular, emotion recognition in human speech is important, as it is the...
There has been confusion about the American Midland dialect for a long time. Since 1968, researchers have been looking for an answer to the question of whether it exists or not. Starting with Bailey, who was unsuccessful in identifying the Midland dialect based on vocabulary only, as vocabulary varies within the same community, and ending with Johnson, who proved that the Midland region is a separate...
The reliability of a question answering system is bounded by the availability of resources and linguistic tools. In this paper, we introduce a hybrid approach to transforming natural language questions into structured queries. It alleviates the lack of experts in domain observation and the deficient performance of linguistic tools. Specifically, we exploit the semantic information for mapping natural...
Identifying the Genre of an audiovisual document is among the major challenges for multimedia retrieval. Indeed, the lack of semantic metadata extraction makes these resources underused in the retrieval process. To overcome these difficulties, the extraction of semantic descriptions requires an analysis of the audiovisual document's content. The automation of the process of describing audiovisual...
Emotion conversion using a small speech corpus is very important for expressive text to speech systems. Applying the unit selection paradigm for intonation conversion has been widely used for different languages using different intonation units. In this paper, an emotion conversion system is proposed for expressive Arabic speech. This system combines the transformation of both spectral and prosodic...
Nowadays, every information is easily available in digital form as documents over the internet. So, it is very easy to copy and access those documents on the internet. When we copy someone's content or idea without permission or citation then plagiarism occurs. This is a very big problem, as it violates the sharing of important information among valid users. According to this paper, we developed a...
In this work we analyze the competitiveness of fuzzy rule-based systems in comparison with black box models like support vector machines to deal with fingerprint classification problems. With this aim, we carry out an experimental study applying different feature extraction models (covering almost every kind of features that are usually considered in this problem) and three fingerprint databases of...
Automatic emotional state recognition from the speech signal represents a remarkable improvement in human-machine interfaces and it opens up a wide range of new applications. This turns out to be no trivial task due to the degree of difficulty inherent in the study of emotions. Traditional methods of emotional discrimination use prosodic and paralinguistic features, which are determined by a linguistic...
This paper presents a novel method for classification of multi-lead electrocardiogram (ECG) signals. The feature extraction is based on the random projection (RP) concept for dimensionality reduction. Furthermore, the classification is performed by a neuro-fuzzy classifier. Such a model can be easily implemented on portable systems for practical applications in both health monitoring and diagnostic...
XML Retrieval is becoming the focus study of the field of Information Retrieval and Database. Summarization of the results which come from the XML search engines will alleviate the read burden of user's. However, as the basis of this study, the construction of the query-oriented XML text summarization corpus has not yet received enough attention. In this paper, we introduce our works on constructing...
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