Model Adaptation Using Discriminative Noise Adaptive Training Approach for New Environments
Ho‐Young Jung, Byung‐Ok Kang, Yun‐Keun Lee · ETRI Journal · 2008
A conventional environment adaptation for robust speech recognition is usually conducted using transform-based techniques. Here, we present a discriminative adaptation strategy based on a multi-condition-trained model, and propose a new method to provide universal application to a new environment using the environment's specific conditions. Experimental results show that a speech recognition system adapted using the proposed method works successfully for other conditions as well as for those of the new environment.