The CHiME challenges have played a significant role in the development a...
Spoken language understanding (SLU) is a task aiming to extract high-lev...
Self-supervised learning (SSL) methods which learn representations of da...
Compressing self-supervised models has become increasingly necessary, as...
Due to the high performance of multi-channel speech processing, we can u...
A method to perform offline and online speaker diarization for an unlimi...
Recent progress on end-to-end neural diarization (EEND) has enabled
over...
Attractor-based end-to-end diarization is achieving comparable accuracy ...
This paper investigates an end-to-end neural diarization (EEND) method f...
In this paper, we present a semi-supervised training technique using
pse...
In this paper, we present a conditional multitask learning method for
en...
This paper provides a detailed description of the Hitachi-JHU system tha...
This paper proposes an online end-to-end diarization that can handle
ove...
This paper investigates the utilization of an end-to-end diarization mod...
This paper summarizes the JHU team's efforts in tracks 1 and 2 of the CH...
Speaker diarization is an important pre-processing step for many speech
...
This paper presents the problems and solutions addressed at the JSALT
wo...
Speaker Verification still suffers from the challenge of generalization ...