6 citations · 20 across the 6 of their papers we have counts for
5 papers · 1 filter
AutoClip: Adaptive Gradient Clipping for Source Separation Networks
Prem Seetharaman, Gordon Wichern, Bryan Pardo +1
Clipping the gradient is a known approach to improving gradient descent, but requires hand selection of a clipping threshold hyperparameter. We present AutoClip, a simple method fo…
Detecting Audio Attacks on ASR Systems with Dropout Uncertainty
Tejas Jayashankar, Jonathan Le Roux, Pierre Moulin
Various adversarial audio attacks have recently been developed to fool automatic speech recognition (ASR) systems. We here propose a defense against such attacks based on the uncer…
Unsupervised Speaker Adaptation using Attention-based Speaker Memory for End-to-End ASR
Leda Sarı, Niko Moritz, Takaaki Hori +1
We propose an unsupervised speaker adaptation method inspired by the neural Turing machine for end-to-end (E2E) automatic speech recognition (ASR). The proposed model contains a me…
End-to-End Multi-speaker Speech Recognition with Transformer
Xuankai Chang, Wangyou Zhang, Yanmin Qian +2
Recently, fully recurrent neural network (RNN) based end-to-end models have been proven to be effective for multi-speaker speech recognition in both the single-channel and multi-ch…
MIMO-SPEECH: End-to-End Multi-Channel Multi-Speaker Speech Recognition
Xuankai Chang, Wangyou Zhang, Yanmin Qian +2
Recently, the end-to-end approach has proven its efficacy in monaural multi-speaker speech recognition. However, high word error rates (WERs) still prevent these systems from being…