HMM-based echo model for noise cancellation avoidi
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专利名称：HMM-based echo model for noise
cancellation avoiding the problem of false
triggers
发明人：Rathinavelu Chengalvarayan,Richard Harry Ketchum,Anand Rangaswamy Setlur,David
Lynn Thomson
申请号：US09652398
申请日：20000831
公开号：US06606595B1
公开日：
20030812
专利内容由知识产权出版社提供
专利附图：
摘要：An automatic speech recognition system for the condition that an incoming caller's speech is quiet and a resulting echo (of a loud playing prompt) can cause the residual (the portion of the echo remaining after even echo cancellation) to be of the magnitude of the incoming speech input. Such loud echoes can falsely trigger the speech recognition system and interfere with the recognition of valid input speech. An echo model has been proven to alleviate this fairly common problem and to be effective in eliminating such false triggering. Further, this automatic speech recognition system enhanced the recognition of valid speech was provided within an existing hidden Markov modeling framework.
申请人：LUCENT TECHNOLOGIES INC.
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