Learning Noise-Invariant Representations for Robust Speech Recognition

17 July 2018

Papers citing "Learning Noise-Invariant Representations for Robust Speech Recognition"

7 / 7 papers shown

Title
SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training Wenyong Huang Zhenhe Zhang Y. Yeung Xin Jiang Qun Liu 33 23 0 25 Jan 2022
Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data David Lowell Brian Howard Zachary Chase Lipton Byron C. Wallace 19 23 0 22 Oct 2020
Acoustic Word Embedding System for Code-Switching Query-by-example Spoken Term Detection Murong Ma Haiwei Wu Xuyang Wang Lin Yang Junjie Wang Ming Li 6 7 0 24 May 2020
Mic2Mic: Using Cycle-Consistent Generative Adversarial Networks to Overcome Microphone Variability in Speech Systems Akhil Mathur Anton Isopoussu F. Kawsar N. Bianchi-Berthouze Nicholas D. Lane 17 51 0 27 Mar 2020
Within-sample variability-invariant loss for robust speaker recognition under noisy environments Danwei Cai Weicheng Cai Ming Li 22 46 0 03 Feb 2020
Transformers without Tears: Improving the Normalization of Self-Attention Toan Q. Nguyen Julian Salazar 36 224 0 14 Oct 2019
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,926 0 17 Aug 2015