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Speech recognition in flight simulator

Rustamov, S.; Gasimov, E.; Hasanov, R.; Jahangirli, S.; Mustafayev, E.; Usikov, D. (IOP Publishing, 2018)

The article is devoted to the investigation of speech recognition in Flight Simulator cockpit. We have done research and developed software for speech recognition in Flight Simulator with limited vocabulary in C# from ...
A Hybrid System for Subjectivity Analysis

Rustamov, Samir (Hindawi, 2018)

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 ...
Evaluation of the impact of the tax legislation reforms on the tax potential by fuzzy inference method

Musayev, Akif; Madatova, Shahzada; Rustamov, Samir (Elsevier, 2016)

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 ...
Development of Speech Recognition Systems in Emergency Call Centers

Valizada, Alakbar; Akhundova, Natavan; Rustamov, Samir (MDPI, 2021)

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. ...
Development of Dialogue Management System for Banking Services

Rustamov, Samir; Bayramova, Aygul; Alasgarov, Emin (MDPI, 2021)

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 ...
Development and Evaluation of Speech Synthesis System Based on Deep Learning Models

Valizada, Alakbar; Jafarova, Sevil; Sultanov, Emin; Rustamov, Samir (MDPI, 2021)

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 ...
Context Analysis of Customer Requests using a Hybrid Adaptive Neuro Fuzzy Inference System and Hidden Markov Models in the Natural Language Call Routing Problem

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 ...
Automated News Categorization using Machine Learning methods

Suleymanov, U.; Rustamov, S. (IOP Publishing, 2018)

Being one of the most linguistically rich languages, Azerbaijani has been researched less in the context of natural language processing area. The text corpus created from Azerbaijani news articles is designed to apply ...
Akademik veri tabanlari: Türkiye ve Azerbaycan örnekleri analizi

Ibrahimov, Iltifat (Fırat Üniversitesi, 2021)

Akademik veri tabanı kavramının temeli, akademik alanda ihtiyaç duyulan güncel ve güvenilir biliginin, telif haklarının korunmasıyla yetkili kullacılara en kısa zamanda iletilmesidir. Akademik veri tabanları içerdiği ...
Mineral composition and paragenesis of altered and mineralized zones in the Gadir low sulfidation epithermal deposit (Lesser Caucasus, Azerbaijan)

Novruzov, Novruz; Valiyev, Anar; Bayramov, Aydin; Ibrahimov, Javid; Mammadov, Sabuhi; Ebdulrehimli, Aygul (IJES, 2019)

Mineralogy, gold mineralization and metal contents of the Gadir deposit have been investigated during current research in order to determine the geological conditions, temporal and spatial relationship with certain ...
The Effects Of The Social Network On The School Children In A Contemporary World

Mammadova, Arzu (ADA University, 2017-05-07)

In recent years, social network has intensively been developed and spread in almost all parts of the world. While growing it become very popular among teenagers and especially, school children already addicted to the usage ...

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