Communication has been an important aspect of human life, civilization, and globalization
for thousands of years. Biometric analysis, education, security, healthcare, and smart cities …

The primary aim of this study was to contribute to the development of multilingual automatic
speech recognition for lower-resourced Turkic languages. Ten languages—Azerbaijani …

Automatic speech recognition systems with a large vocabulary and other natural language
processing applications cannot operate without a language model. Most studies on pre …

Research in NLP for Central Asian Turkic languages-Kazakh, Uzbek, Kyrgyz, and Turkmen-
faces typical low-resource language challenges like data scarcity, limited linguistic …

To obtain a reliable and accurate automatic speech recognition (ASR) machine learning
model, it is necessary to have sufficient audio data transcribed, for training. Many languages …

The relevance of the problem of automatic speech recognition lies in the lack of research for
low-resource languages, stemming from limited training data and the necessity for new …

A new generation of speech translation technology is being developed to enable natural
cross-language communication. Research efforts must focus on large vocabulary …

This paper presents modern architectures for effective speech synthesis. Since each
language has its own subtleties, the task of applying the world methods for the Uzbek …

After focusing on individual languages for a long time, multilingual automatic speech
recognition has recently become an active area of research. For instance, Whisper by …

An important method for interacting between humans and computers is Automatic-Speech-
Recognition (ASR). This technique enables a computer to recognize the word (acoustic) …