School of Information Technologies and Engineering: Recent submissions

  • Akhundova, Natavan (ADA University, 2022-04)
    Speaker identification is a process of identifying a person who is speaking and is very useful in applications such as customer service or even in investigations and reporting forensic evidence. This study focuses on ...
  • Aslanov, Mustafa (ADA University, 2022-04)
    In computer-human interaction, understanding human behavior is one of the main tasks for a machine to make the whole process as natural as possible. Conversation is one of the quickest and most natural methods of ...
  • Musazade, Fidan (ADA University, 2022-04)
    The problem of optical chemical structure recognition has been tackled by various researchers using both rule-based and machine learning approaches. However, it still does not have a viable solution that would produce ...
  • Bayramova, Aygul (ADA University, 2022-04)
    The intensive advancements of dialogue systems (DMS) for numerous businesses has resulted from the rapid expansion in conversational AI and user chat data. However, relatively little research has been done on low-resource ...
  • Dadash-zada, Samir (ADA University, 2022-04)
    This thesis discusses and brings a wide range of solutions for different aspects of the data collection, augmentation and generation for an automatic sign language to text translation system. Even though the data ...
  • Mammadnaghiyev, Kheybar (ADA University, 2022-04)
    Sentiment Analysis of a text and Emotion Analysis of a text in the Azerbaijani language has been recently at the center of attention as a research topic. Although different approaches have been applied to this topic, ...
  • Aliyeva, Farida (ADA University, 2022-04)
    Our Speech comprises of paralinguistic features such as: identity, age, gender, accent etc. The objective of this paper is to identify, the age-group and gender of the speaker from Azerbaijani speech. The paper will ...
  • Aslanli, Ulvi (ADA University, 2023-04)
    Automatic Speech Recognition (ASR) technology is essential in a variety of applications, such as voice search, virtual assistants, transcription services, and subtitling for people with hearing impairments. Despite its ...

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