Rustamov, Samir; Mustafayev, Elshan; Clements, Mark A.(De Gruyter, 2018)
The context analysis of customer requests in a
natural language call routing problem is investigated in
the paper. One of the most significant problems in natural
language call routing is a comprehension of client ...
This study concentrates on the investigation, development, and evaluation of Text-to-Speech Synthesis systems based on Deep Learning models for the Azerbaijani Language. We have
selected and compared state-of-the-art ...
Rapid increase in conversational AI and user chat data lead to intensive development
of dialogue management systems (DMS) for various industries. Yet, for low-resource languages,
such as Azerbaijani, very little research ...
In this paper, various methodologies of acoustic and language models, as well as labeling
methods for automatic speech recognition for spoken dialogues in emergency call centers were
investigated and comparatively analyzed. ...
In the paper the Mamdani-Type Fuzzy inference method is applied for the expert evaluation of the impact of the tax legislation
reforms on the tax potential. The model being investigated includes 4 inputs, 8 IF-THEN rules ...
Identification of subjective data from web documents having
opinions within are gaining incrementing interest. Opinions
are often views formed by individuals about their sentiments,
appraisals, or feelings, etc., not ...