Publication Details
Issue: Vol 7, No 3 (2026)
ISSN: 2660-6828

Abstract

Punctuation restoration constitutes one of the most significant Natural Language Processing (NLP) tasks within Automatic Speech Recognition (ASR) systems. Automatic Speech Recognition refers to a computational technology that enables machines to recognize, process, and transcribe human speech into textual form. ASR systems serve as a fundamental component in numerous NLP applications, including intelligent voice assistants, automated call-center systems, speech analytics, and machine translation technologies. With the exponential growth of digital content and spoken communication platforms, ASR technologies have become an indispensable element of modern intelligent information systems and services.

Keywords
Punctuation Restoration Automatic Speech Recognition ASR Speech Recognition Speech Transcripts Uzbpunct Dataset