000			01262nam a22001937a 4500
003			NUST
005			20240920111442.0
008			240920b ||||| |||| 00| 0 eng d
082			_a005.1,FAI
100			_aFaisal, Saleha _9125926
245			_aAudioX-AI Based Automated Information Extraction From Audio / _cSaleha Faisal, Hafsa Khalid, Kanwal Shahzadi, Hadeed Naeem Haider.
260			_aMCS, NUST _bRawalpindi _c2024
300			_a151 p
505			_aAudioX is an automated AI-based application designed to extract information from audio data. By implementing advanced machine learning technologies, AudioX offers a comprehensive feature set, including speaker segmentation, audio diarization, sentiment analysis, and keyword spotting and transcript generation. With its intuitive and user-friendly interface, AudioX enables users to streamline information retrieval tasks, gain deeper insight into audio data, and confidently make data-driven decisions. The goal is to provide a single platform that combines different audio processing techniques to organize and extract important information from user-provided audio.
650			_aUG BESE _9114271
651			_aBESE-26 _9125902
700			_aSupervisor Dr. Naima Iltaf _9113008
942			_2ddc _cPR
999			_c611590 _d611590