A study on Voice Recognition using Model Adaptation HMM for Mobile Environment
Jong-Young Ahn, Sang‐Bum Kim, Su-Hoon Kim, Kang-In Hur · The Journal of the Institute of Webcasting, Internet and Telecommunication · 2011
In this paper, we propose the MA(Model Adaption) HMM that to use speech enhancement and feature compensation. Normally voice reference data is not consider for real noise data. This method is not to use estimated noise but we use real life environment noise data. And we applied this contaminated data for recognition reference model that suitable for noise environment. MAHMM is combined with surround noise when generating reference patten. We improved voice recognition rate at mobile environment to use MAHMM.