Noise and Channel Distortion Robust ASR System for DARPA SPINE2 Task
نویسندگان
چکیده
This paper presents the ATR speech recognition system designed for the DARPA SPINE2 evaluation task. The system is capable of dealing with speech from highly variable, real-world noisy conditions and communication channels. A number of robust techniques are implemented, such as differential spectrum mel-scale cepstrum features, on-line MLLR adaptation, and word-level hypothesis combination, which led to a significant reduction in the word error rate. key words: noise robustness, online adaptation, hypothesis combination, robust features
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تاریخ انتشار 2005