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

Speaker verification (SV) aims to detect an individual's identity from his/her voice. SV has
been successfully applied in various areas such as access control, remote service …

For speaker recognition, it is difficult to extract an accurate speaker representation from
speech because of its mixture of speaker traits and content. This paper proposes a …

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

Pooling is an essential component to capture long-term speaker characteristics for speaker
recognition. This paper proposes simple but effective pooling methods to compute attentive …

Speaker individuality information is among the most critical elements within speech signals.
By thoroughly and accurately modeling this information, it can be utilized in various …

Despite the significant improvements in speaker recognition enabled by deep neural
networks, unsatisfactory performance persists under noisy environments. In this paper, we …

Spoofing countermeasure (CM) systems are critical in speaker verification; they aim to
discern spoofing attacks from bona fide speech trials. In practice, however, acoustic …

Passive acoustic monitoring is increasingly being used for studying marine mammals,
leading to the accumulation of large acoustic datasets. Analyzing these datasets becomes …

We propose three regularization-based speaker adaptation approaches to adapt the
attention-based encoder-decoder (AED) model with very limited adaptation data from target …