13 citations · 28 across the 5 of their papers we have counts for
5 papers
Disentangled Training with Adversarial Examples For Robust Small-footprint Keyword Spotting
Zhenyu Wang, Li Wan, Biqiao Zhang +5
A keyword spotting (KWS) engine that is continuously running on device is exposed to various speech signals that are usually unseen before. It is a challenging problem to build a s…
Self-Supervised Speaker Verification with Simple Siamese Network and Self-Supervised Regularization
Mufan Sang, Haoqi Li, Fang Liu +2
Training speaker-discriminative and robust speaker verification systems without speaker labels is still challenging and worthwhile to explore. In this study, we propose an effectiv…
Personal VAD: Speaker-Conditioned Voice Activity Detection
Shaojin Ding, Quan Wang, Shuo-yiin Chang +2
In this paper, we propose "personal VAD", a system to detect the voice activity of a target speaker at the frame level. This system is useful for gating the inputs to a streaming o…
Tuplemax Loss for Language Identification
Li Wan, Prashant Sridhar, Yang Yu +2
In many scenarios of a language identification task, the user will specify a small set of languages which he/she can speak instead of a large set of all possible languages. We want…
Links: A High-Dimensional Online Clustering Method
Philip Andrew Mansfield, Quan Wang, Carlton Downey +2
We present a novel algorithm, called Links, designed to perform online clustering on unit vectors in a high-dimensional Euclidean space. The algorithm is appropriate when it is nec…