{"id":12982,"date":"2022-06-14T19:50:09","date_gmt":"2022-06-14T11:50:09","guid":{"rendered":"https:\/\/old-cde.nus.edu.sg\/ece\/?p=12982"},"modified":"2023-03-08T14:21:33","modified_gmt":"2023-03-08T06:21:33","slug":"completed-project-4","status":"publish","type":"post","link":"https:\/\/cde.nus.edu.sg\/ece\/completed-project-4\/","title":{"rendered":"Completed Project 4"},"content":{"rendered":"\n\n\t

Text-dependent Speaker Verification and Identification (1 April 2018 – 31 March 2019)<\/h2>\n

Speaker verification aims to authenticate a person based on the voice example. Broadly it can be categorized as two categories, text-dependent and text-independent. From the view of application based systems text-dependent speaker verification is preferred due to involvement of short pass phrases during training and testing. This project aims to develop novel and effective methods for text-dependent speaker verification and identification to use in real-world applications.<\/p>\n

Some of our explorations for text-dependent speaker verification include utterance compensation framework and unified framework for speaker and utterance verification. In the utterance compensation framework, a background utterance model is trained that is used to compensate the lexical content information as we are interested towards the speaker-specific information. Utterance verification is another that co-exists with text-dependent speaker verification. The general way of utterance verification is to have a separate framework from the speaker verification system. We propose a unified framework that can perform both speaker and utterance verification together. It is referred to as unified framework as speaker-utterance-verification. Further, we also aim to explore near-field vs. far-field and wake up word based speaker verification under the scope of this project.<\/p>\n

Project Duration: 1 April 2018 – 31 March 2019<\/p>\n

PUBLICATIONS<\/p>\n

Conference Articles<\/p>\n