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

Feature extraction and representation has significant impact on the performance of any
machine learning method. Mel Frequency Cepstrum Coefficient (MFCC) is designed to …

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

In this paper, we focus on the far-field end-to-end textdependent speaker verification task
with a small-scale far-field text dependent dataset and a large scale close-talking text …

The popularity and application of smart home devices have made far-field speaker
verification an urgent need. However, speaker verification performance is unsatisfactory …

This paper describes the system developed by the DKU team for the MISP Challenge 2021.
We present a two-stage approach consisting of end-to-end neural networks for the audio …

The performance of the keyword spotting (KWS) system based on audio modality, commonly
measured in false alarms and false rejects, degrades significantly under the far field and …

With the increase in the availability of speech from varied domains, it is imperative to use
such out-of-domain data to improve existing speech systems. Domain adaptation is a …

This paper describes the Royalflush speaker diarization system submitted to the Multi-
channel Multi-party Meeting Transcription Challenge (M2MeT). Our system comprises …

Motivated by unconsolidated data situation and the lack of a standard benchmark in the
field, we complement our previous efforts and present a comprehensive corpus designed for …