Multi-rate hmm quantization for speech recognition

This paper refines the idea of scalar quantization for hidden Markov model (HMM) parameters which was introduced in an earlier contribution. With the proposed multi-rate approach it is shown that an increased model compression can be achieved with a significant computational complexity reduction while also closely preserving the recognition performance of the original models.