Frame and frame dimension reduction techniques for automatic speech recognition

Concentrates on techniques for parameter and frame reduction. Standard parameter sets of contemporary speech recognition systems include some set of basic parameters (e.g. cepstra and energy), their time derivatives, and their second time derivatives. The large number of parameters (typically 25 to 45) induces the investigation of methods for reducing the amount of computation, without loss of recognition accuracy. The paper presents the variable frame rate analysis, a technique for leaving out frames that are too resemblant, and describes methods for decreasing the number of parameters in a frame.<
>