AudioX-AI Based Automated Information Extraction From Audio / (Record no. 611593)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01262nam a22001937a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | NUST |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240920111520.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240920b ||||| |||| 00| 0 eng d |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.1,FAI |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Faisal, Saleha |
| 9 (RLIN) | 125926 |
| 245 ## - TITLE STATEMENT | |
| Title | AudioX-AI Based Automated Information Extraction From Audio / |
| Statement of responsibility, etc. | Saleha Faisal, Hafsa Khalid, Kanwal Shahzadi, Hadeed Naeem Haider. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | MCS, NUST |
| Name of publisher, distributor, etc. | Rawalpindi |
| Date of publication, distribution, etc. | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 151 p |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | UG BESE |
| 9 (RLIN) | 114271 |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME | |
| Geographic name | BESE-26 |
| 9 (RLIN) | 125902 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervisor Dr. Naima Iltaf |
| 9 (RLIN) | 113008 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Project Report |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Military College of Signals (MCS) | Military College of Signals (MCS) | General Stacks | 09/20/2024 | 005.1,FAI | MCSPCS-487 | 09/20/2024 | 09/20/2024 | Project Report |