Two-Stage Augmentation and Adaptive CTC Fusion for Improved Robustness\n of Multi-Stream End-to-End ASR
Journal: arXiv (Cornell University)
Year: 2021

Performance degradation of an Automatic Speech Recognition (ASR) system is\ncommonly observed when the test acoustic condition is different from training.\nHence, it is essential to make ASR systems robust against various environmental\ndistortions, such as background noises and reverberations. In a multi-stream\nparadigm, improving robustness takes account of handling a variety of unseen\nsingle-stream conditions and inter-stream dynamics. Previously, a practical\ntwo-stage training strategy wa