60 citations · 60 across the 2 of their papers we have counts for
3 papers
eess.AS2019★ 60 cited
Probing the Information Encoded in X-vectors
Desh Raj, David Snyder, Daniel Povey +1
Deep neural network based speaker embeddings, such as x-vectors, have been shown to perform well in text-independent speaker recognition/verification tasks. In this paper, we use s…
stat.ML2018
Fast variational Bayes for heavy-tailed PLDA applied to i-vectors and x-vectors
Anna Silnova, Niko Brummer, Daniel Garcia-Romero +2
The standard state-of-the-art backend for text-independent speaker recognizers that use i-vectors or x-vectors, is Gaussian PLDA (G-PLDA), assisted by a Gaussianization step involv…
cs.SD2015
MUSAN: A Music, Speech, and Noise Corpus
David Snyder, Guoguo Chen, Daniel Povey
This report introduces a new corpus of music, speech, and noise. This dataset is suitable for training models for voice activity detection (VAD) and music/speech discrimination. Ou…