Hidden-articulator Markov models for speech recognition

详细信息    查看全文

• 作者：Richardson ; Matthew ; Bilmes ; Jeff ; Diorio ; Chris
• 关键词：Speech recognition ; Articulatory models ; Noise robustness ; Factorial HMM
• 刊名：Speech Communication
• 出版年：2003
• 出版时间：October, 2003
• 年：2003
• 卷：41
• 期：2-3
• 页码：511-529
• 全文大小：318 K

文摘

Most existing automatic speech recognition systems today do not explicitly use knowledge about human speech production. We show that the incorporation of articulatory knowledge into these systems is a promising direction for speech recognition, with the potential for lower error rates and more robust performance. To this end, we introduce the Hidden-Articulator Markov model (HAMM), a model which directly integrates articulatory information into speech recognition.