Identifying a person by his or her voice is an important human trait most take for granted in
natural human-to-human interaction/communication. Speaking to someone over the …

The performance of biometric systems based on automatic speaker recognition technology
is severely degraded due to spoofing attacks with synthetic speech generated using different …

This paper presents our contribution to the ASVspoof 2017 Challenge. It addresses a replay
spoofing attack against a speaker recognition system by detecting that the analysed signal …

A speaker verification system automatically accepts or rejects a claimed identity of a speaker
based on a speech sample. Recently, a major progress was made in speaker verification …

Automatic speaker verification, such as every other biometric system, is vulnerable to
spoofing attacks. Using only a few minutes of recorded voice from a genuine client of a …

The VoxCeleb Speaker Recognition Challenges (VoxSRC) were a series of challenges and
workshops that ran annually from 2019 to 2023. The challenges primarily evaluated the …

Speaker recognition systems trained on long duration utterances are known to perform
significantly worse when short test segments are encountered. To address this mismatch, we …

Adverse noisy conditions pose great challenges to automatic speech applications including
speaker and language identification (SID and LID), where mel-frequency cepstral …

Speaker verification system automatically accepts or rejects the claimed identity of a
speaker. Recently, we have made major progress in speaker verification which leads to …

In real-world environments, noisy utterances with variable noise levels are recorded and
then converted to i-vectors for cosine distance or PLDA scoring. This paper investigates the …