000			01334nam a22001577a 4500
082			_a629.8
100			_aAli, Ahmad _9122740
245			_aAudio Visual Person Recognition / _cAhmad Ali
264			_aIslamabad : _bSMME- NUST; _c2022.
300			_a46p. _bSoft Copy _c30cm
500			_aPerson 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			_aMS Robotics and Intelligent Machine Engineering _9119486
700			_aSupervisor : Dr. Hasan Sajid _9121640
856			_uhttp://10.250.8.41:8080/xmlui/handle/123456789/30563
942			_2ddc _cTHE
999			_c609187 _d609187