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 …

Speaker recognition is a task of identifying persons from their voices. Recently, deep
learning has dramatically revolutionized speaker recognition. However, there is lack of …

Following the success of the 1st, 2nd, 3rd, 4th and 5th CHiME challenges we organize the
6th CHiME Speech Separation and Recognition Challenge (CHiME-6). The new challenge …

Humans can identify a speaker by listening to their voice, over the telephone, or on any
digital devices. Acquiring this congenital human competency, authentication technologies …

The CHiME challenges have played a significant role in the development and evaluation of
robust speech recognition (ASR) systems. We introduce the CHiME-7 distant ASR (DASR) …

The goal of this work is to train robust speaker recognition models without speaker labels.
Recent works on unsupervised speaker representations are based on contrastive learning …

Speech datasets are crucial for training Speech Language Technologies (SLT); however,
the lack of diversity of the underlying training data can lead to serious limitations in building …

The" VOiCES from a Distance Challenge 2019" is designed to foster research in the area of
speaker recognition and automatic speech recognition (ASR) with the special focus on …

The INTERSPEECH 2020 Far-Field Speaker Verification Challenge (FFSVC 2020)
addresses three different research problems under well-defined conditions: far-field text …

The growth in online child exploitation material is a significant challenge for European Law
Enforcement Agencies (LEAs). One of the most important sources of such online information …