335,597 research outputs found
Maintaining computer-based information systems using text-based intelligent systems techniques
In order to incorporate up-to-date quantitative and qualitative information, Computer- Based Information Systems (CBIS) must be able to extract data from unstructured, textual formats such as newspapers and magazines. The process of updating information in a CBIS currently requires large amounts of human effort analyzing and converting data from such sources into formats which information systems can work with. This paper suggests some methods by which the data needs of a CBIS can be handled semi-automatically (Employing both computers and humans) using text-based intelligent systems (TBIS) techniques
How to improve TTS systems for emotional expressivity
Several experiments have been carried out that revealed weaknesses of the current Text-To-Speech (TTS) systems in their emotional expressivity. Although some TTS systems allow XML-based representations of prosodic and/or phonetic variables, few publications considered, as a pre-processing stage, the use of intelligent text processing to detect affective information that can be used to tailor the parameters needed for emotional expressivity. This paper describes a technique for an automatic prosodic parameterization based on affective clues. This technique recognizes the affective information conveyed in a text and, accordingly to its emotional connotation, assigns appropriate pitch accents and other prosodic parameters by XML-tagging. This pre-processing assists the TTS system to generate synthesized speech that contains emotional clues. The experimental results are encouraging and suggest the possibility of suitable emotional expressivity in speech synthesis
An Analysis of Using Expert Systems and Intelligent Agents for the Virtual Library Project at the Naval Surface Warfare Center-Carderock Division
The Virtual Library Project1 at the Naval Surface Warfare Center/Carderock Division (NSWC/CD) is being developed to facilitate the incorporation and use of library documents via the Internet. These documents typically relate to the design and manufacture of ships for the U.S. Navy Fleet. As such, the libraries will store documents that contain not only text but also images, graphs and design configurations. Because of the dynamic nature of digital documents, particularly those related to design, rapid and effective cataloging of these documents becomes challenging. We conducted a research study to analyze the use of expert systems and intelligent agents to support the function of cataloging digital documents. This chapter provides an overview of past research in the use of expert systems and intelligent agents for cataloging digital documents and discusses our recommendations based on NSWC/CDâs requirements
Employing Emotion Cues to Verify Speakers in Emotional Talking Environments
Usually, people talk neutrally in environments where there are no abnormal
talking conditions such as stress and emotion. Other emotional conditions that
might affect people talking tone like happiness, anger, and sadness. Such
emotions are directly affected by the patient health status. In neutral talking
environments, speakers can be easily verified, however, in emotional talking
environments, speakers cannot be easily verified as in neutral talking ones.
Consequently, speaker verification systems do not perform well in emotional
talking environments as they do in neutral talking environments. In this work,
a two-stage approach has been employed and evaluated to improve speaker
verification performance in emotional talking environments. This approach
employs speaker emotion cues (text-independent and emotion-dependent speaker
verification problem) based on both Hidden Markov Models (HMMs) and
Suprasegmental Hidden Markov Models (SPHMMs) as classifiers. The approach is
comprised of two cascaded stages that combines and integrates emotion
recognizer and speaker recognizer into one recognizer. The architecture has
been tested on two different and separate emotional speech databases: our
collected database and Emotional Prosody Speech and Transcripts database. The
results of this work show that the proposed approach gives promising results
with a significant improvement over previous studies and other approaches such
as emotion-independent speaker verification approach and emotion-dependent
speaker verification approach based completely on HMMs.Comment: Journal of Intelligent Systems, Special Issue on Intelligent
Healthcare Systems, De Gruyter, 201
Medical Image Retrieval: Past and Present
With the widespread dissemination of picture archiving and communication systems (PACSs) in hospitals, the amount of imaging data is rapidly increasing. Effective image retrieval systems are required to manage these complex and large image databases. The authors reviewed the past development and the present state of medical image retrieval systems including text-based and content-based systems. In order to provide a more effective image retrieval service, the intelligent content-based retrieval systems combined with semantic systems are required
University Knowledge Management Tool for Academic Research Activity Evaluation
The implementation of an efficient university knowledge management system involves the de-velopment of several software tools that assist the decision making process for the three main activities of a university: teaching, research, and management. Artificial intelligence provides a variety of techniques that can be used by such tools: machine learning, data mining, text mining, knowledge based systems, expert systems, case-based reasoning, decision support systems, intelligent agents etc. In this paper it is proposed a generic structure of a university knowledge management system, and it is presented an expert system, ACDI_UPG, developed for academic research activity evaluation, that can be used as a decision support tool by the university knowledge management system for planning future research activities according to the main objectives of the university and of the national / international academic research funding organizations.University Knowledge Management, Research Activity Evaluation, Artificial Intelligence, Expert Systems, Decision Support System
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