In this paper, we present a novel framework that jointly performs three tasks: speaker
diarization, speech separation, and speaker counting. Our proposed framework integrates …

We address the problem of speaker counting and separation from a noisy, single-channel,
multi-source, recording. Most of the works in the literature assume mixtures containing two to …

We propose a multi-task universal speech enhancement (MUSE) model that can perform
five speech enhancement (SE) tasks: dereverberation, denoising, speech separation (SS) …

We consider the task of region-based source separation of reverberant multi-microphone
recordings. We assume pre-defined spatial regions with a single active source per region …

We propose a novel speech separation model designed to separate mixtures with an
unknown number of speakers. The proposed model stacks 1) a dual-path processing block …

This paper describes an efficient unsupervised learning method for a neural source
separation model that utilizes a probabilistic generative model of observed multichannel …

Typically, target speaker extraction seeks to extract a target speaker's contribution according
to his or her individual voice characteristics. In a “multilingual cocktail party” however …

Speaker-independent speech separation for single-channel mixtures with an unknown
number of multiple speakers in the waveform domain is considered in this paper. To deal …

In this paper, we introduce the Temporal Audio Source Counting Network (TaCNet), an
innovative architecture that addresses limitations in audio source counting tasks. TaCNet …

Ultrasound is extremely efficient for wireless signal transmission through metal barriers due
to no limit of the Faraday shielding effect. Echoing in the ultrasonic channel is one of the …