【摘要】 由于置信度模型可以有效地判断观测数据与语音模型之间的匹配程度 ,因此可以用来对语音识别结果进行假设检验 ,定位识别结果中的错误 ,从而提高系统的识别率和稳健性 .讨论了语音识别中置信度的基本原理、估值方法、模型性能评价方法 ,比较全面地介绍了置信度在语音识别中的各种应用 .实验结果表明 ,置信度在语音识别的搜索和剪枝过程、说话人自适应以及拒识和验证方面都有明显的作用 .更多还原

【Abstract】 As confidence measures can well judge whether an observation matches a model, they can be used to do hypothesis testing and to locate the errors, thus improving accuracy and robustness of speech recognition. In this paper, the theory of confidence measures is introduced in the context of speech recognition, main methods of model construction and performance evaluation are described, and various applications are reported. Our experiments results are also presented, which show that confidence measures are very effective in such aspects as decoding and pruning, speaker adaptation, and utterance verification and rejection.更多还原