SyncNet: correlating objective for time delay estimation in audio signals

Understand

This study addresses the task of performing robust and reliable time-delay estimation in signals in noisy and reverberating environments.

• In contrast to the popular signal processing based methods, this paper proposes to transform the input signals using a deep neural network into another pair of sequences which show high cross correlation at the actual time delay.
• This is achieved with the help of a novel correlation function based objective function for training the network.
• The proposed approach is also intrinsically interpretable as it does not lose temporal information.