NUST Institutions Library Catalogue

AudioX-AI Based Automated Information Extraction From Audio / Saleha Faisal, Hafsa Khalid, Kanwal Shahzadi, Hadeed Naeem Haider.

By: Faisal, SalehaContributor(s): Supervisor Dr. Naima IltafMaterial type: TextTextPublisher: MCS, NUST Rawalpindi 2024Description: 151 pSubject(s): UG BESE | BESE-26DDC classification: 005.1,FAI
Contents:
AudioX 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.
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AudioX 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.

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