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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Item type Current location Home library Shelving location Call number Status Date due Barcode Item holds
Project Report Project Report Military College of Signals (MCS)
Military College of Signals (MCS)
General Stacks 005.1,FAI (Browse shelf) Available MCSPCS-487
Total holds: 0

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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