| 000 | 01212nam a22001817a 4500 | ||
|---|---|---|---|
| 003 | NUST | ||
| 005 | 20240920141846.0 | ||
| 082 | _a005.1,FAI | ||
| 100 |
_aFaisal, Saleha _9125926 |
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| 245 |
_aAudioX-AI Based Automated Information Extraction From Audio / _cSaleha Faisal, Hafsa Khalid, Kanwal Shahzadi, Hadeed Naeem Haider. |
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| 260 |
_aMCS, NUST _bRawalpindi _c 2024 |
||
| 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 |
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| 651 |
_aBESE-26 _9125902 |
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| 700 |
_aSupervisor Dr. Dr. Naima Iltaf _9125932 |
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| 942 |
_2ddc _cPR |
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| 999 |
_c611598 _d611598 |
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