Automatic speaker verification (ASV) technology now reports a reasonable level of accuracy
in its applications in voice‐based biometric systems. However, it requires adequate amount …

In this paper we propose and analyse a large margin fine-tuning strategy and a quality-
aware score calibration in text-independent speaker verification. Large margin fine-tuning is …

Speaker recognition has emerged as an important field over the past several decades and
has evolved over time. This work is attempted to investigate speaker verification (SV) …

This paper focuses on the application of Conformers in speaker verification. Conformers,
initially designed for Automatic Speech Recognition (ASR), excel at modeling both local and …

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 …

In this paper, we address the problem of speaker verification in conditions unseen or
unknown during development. A standard method for speaker verification consists of …

This book will help readers understand fundamental and advanced statistical models and
deep learning models for robust speaker recognition and domain adaptation. This useful …

In this paper, a new approach for age estimation from speech signals based on i-vectors is
proposed. In this method, each utterance is modeled by its corresponding i-vector. Then, a …

Overlapped speech is referred to a monophonic audio signal in which at least two speakers
are present at the same time. In this study, the focus is on distinguishing overlapped from …

The purpose of forensic voice comparison is to assist a court of law in deciding whether the
voices on two (or more) recordings were produced by the same speaker or by different …