Speech recognition based on a multilingual acoustic model

摘要

The present invention relates to a method for generating a multilingual speech recognizer comprising a multilingual acoustic model, comprising the steps of providing a first speech recognizer comprising a first codebook consisting of first Gaussians and a first Hidden Markov Model, HMM, comprising first states; providing at least one second speech recognizer comprising a second codebook consisting of second Gaussians and a second Hidden Markov Model, HMM, comprising second states; replacing each of the second Gaussians of the at least one second speech recognizer by the respective closest one of the first Gaussians and/or each of the second states of the second HMM of the at least one second speech recognizer with the respective closest state of the first HMM of the first speech recognizer to obtain at least one modified second speech recognizer and combining the first speech recognizer and the at least one modified second speech recognizer to obtain the multilingual speech recognizer.