A METHOD OF HMM SPEECH RECOGNITION INTRODUCED INTER-FRAME CORRELATION
一种引入帧间相关信息的HMM语音识别方法

This paper applies segmental unit into HMM for speech recognition. In this model, several successive frames are combined and treated as an input vector. It expects that segmental unit input HMM would be effective to describe the inter-frame correlation information and has also proposed the MGDF and RBF to further improve output probability function. By comparing them with the traditional HMMs based on their speech recognition performance rates through the experiments of speaker-independent spoken digit (isolated/connected) recognition, the validity of the proposed appraoch could be verified.