The field of speech processing has undergone a transformative shift with the advent of deep
learning. The use of multiple processing layers has enabled the creation of models capable …

Unlike previous studies on the Metaverse based on Second Life, the current Metaverse is
based on the social value of Generation Z that online and offline selves are not different …

Artefacts that serve to distinguish bona fide speech from spoofed or deepfake speech are
known to reside in specific subbands and temporal segments. Various approaches can be …

We present a single-stage casual waveform-to-waveform multichannel model that can
separate moving sound sources based on their broad spatial locations in a dynamic …

Multi-channel speech enhancement aims at utilizing spatial relationships between signals
captured from a microphone array along with temporal-spectral information efficiently to …

In this contribution, we present a novel online approach to multichannel speech
enhancement. The proposed method estimates the enhanced signal through a filter-and …

A promising approach for multi-microphone speech separation involves two deep neural
networks (DNN), where the predicted target speech from the first DNN is used to compute …

End-to-end time-domain speech separation with masking strategy has shown its
performance advantage, where a 1-D convolutional layer is used as the speech encoder to …

While current deep learning (DL)-based beamforming techniques have been proved
effective in speech separation, they are often designed to process narrow-band (NB) …

Distributed Microphone Arrays (DMAs) present many challenges with respect to centralized
microphone arrays. An important requirement of applications on these arrays is handling a …