The objective of this work is speaker recognition under noisy and unconstrained conditions.
We make two key contributions. First, we introduce a very large-scale audio-visual dataset …

Most of the speech processing applications use triangular filters spaced in mel-scale for
feature extraction. In this paper, we propose a new data-driven filter design method which …

We present a Bayesian formulation for deep speaker embedding, wherein the xi-vector is
the Bayesian counterpart of the x-vector, taking into account the uncertainty estimate. On the …

Audio-visual speaker recognition is one of the tasks in the recent 2019 NIST speaker
recognition evaluation (SRE). Studies in neuroscience and computer science all point to the …

VoxCeleb datasets are widely used in speaker recognition studies. Our work serves two
purposes. First, we provide speaker age labels and (an alternative) annotation of speaker …

Speaker recognition is increasingly used in several everyday applications including smart
speakers, customer care centers and other speech-driven analytics. It is crucial to accurately …

This paper proposes the target speaker enhancement based speaker verification network
(TASE-SVNet), an all neural model that couples target speaker enhancement and speaker …

Speaker recognition continues to grow as a research challenge in the field with expanded
application in commercial, forensic, educational and general speech technology interfaces …

Speech utterances recorded under differing conditions exhibit varying degrees of
confidence in their embedding estimates, ie, uncertainty, even if they are extracted using the …

This paper describes the NEC-TT speaker recognition system designed for the 2018
Speaker Recognition Evaluation (SRE'18) benchmarking. The NEC-TT submission was …