Ilim ha’m ja’miyet Issue 1-1 (2025) · pp. 30-32
РАЗРАБОТКА СИСТЕМЫ АВТОМАТИЧЕСКОГО РАСПОЗНАВАНИЯ РЕЧИ ДЛЯ КАРАКАЛПАКСКОГО ЯЗЫКА С ИСПОЛЬЗОВАНИЕМ Wav2Vec
Утеулиев, Н.У., Кудайбергенов, Ж.К., Кудайбергенов, Т.К.
Abstract
This paper presents a new approach to Automatic Speech Recognition (ASR) for the Karakalpak language, leveraging deep learning techniques, specifically the Wav2Vec model. The study outlines the methodology for capturing audio streams from a microphone, processing these audio files.
ASRWav2Vecтаниб олишмоделчастотаметрикаASRWav2Vecраспознаваниемодель
Metadata source: the journal's OAI-PMH archive · Sindex does not store the full text; it links to the source.