CORDIS Project
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This project aims to improve automatic speaker recognition by developing deep learning models that effectively extract speaker-specific features from speech recordings. It will explore various techniques, including attention mechanisms and raw signal processing, to enhance the accuracy of speaker identification.
This project focuses on automatic speaker recognition (SID), the task of determining the identity of the speaker in a speech recording.
Disentangling the speaker specific information from the rest of nuisance variability requires complex models.
Deep neural networks (DNNs) have recently showed their potential for this, as the popular x-vector learnt by a DNN.Here, we aim for end-to-end SID where the system is optimized as a whole for the target task.
Despite several attempts in this line of rese…
VYSOKE UCENI TECHNICKE V BRNE
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