Experimental results show that phonetic classification based on the triphone can greatly improve system performance. The proposed method reduces the error rate by 28% compared with a baseline system.
实验表明：基于语音学分类的三音子单元对识别性能有明显的改善，系统的首选误识率相对基线系统降低了28%。
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