Audio Visual Person Recognition / (Record no. 609187)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01334nam a22001577a 4500 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 629.8 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Ali, Ahmad |
| 245 ## - TITLE STATEMENT | |
| Title | Audio Visual Person Recognition / |
| Statement of responsibility, etc. | Ahmad Ali |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Islamabad : |
| Name of producer, publisher, distributor, manufacturer | SMME- NUST; |
| Date of production, publication, distribution, manufacture, or copyright notice | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 46p. |
| Other physical details | Soft Copy |
| Dimensions | 30cm |
| 500 ## - GENERAL NOTE | |
| General note | Person authentication is a primary element to consider wherever privacy is necessary. Deep learning based authentication algorithms have a number of applications in the said field. Adding multiple modalities makes the system more robust. In this research a joint multi-modal audio-visual deep learning based method has been devised to authenticate a person based on their voice as well as face. This two-step verification process works by learning face-feature based embeddings as well as voice-feature based embeddings to serve two purposes: 1) if the face presented matches with an identity in a reference database and 2) if the voice matches any voice in the reference database. This strategy can help prevent important systems from impostor attempts using modalities that are commonly present and available in consumer devices. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | MS Robotics and Intelligent Machine Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervisor : Dr. Hasan Sajid |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://10.250.8.41:8080/xmlui/handle/123456789/30563">http://10.250.8.41:8080/xmlui/handle/123456789/30563</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Thesis |
| Withdrawn status | Permanent Location | Current Location | Shelving location | Date acquired | Full call number | Barcode | Koha item type |
|---|---|---|---|---|---|---|---|
| School of Mechanical & Manufacturing Engineering (SMME) | School of Mechanical & Manufacturing Engineering (SMME) | E-Books | 05/20/2024 | 629.8 | SMME-TH-712 | Thesis |