| 摘要 |
<p>The invention relates to a generator and a method for generating an adapted speaker independent speech recognizer. The generator of an adapted speech recognizer is being based upon a base speech recognizer of an arbitrary base language. The generator also comprises an additional speech data corpus used for generation of said adapted speech recognizer. Said additional speech data corpus comprises a collection of domain specific speech data and/or dialect specific speech data. Said generator comprises reestimation means for reestimating language or domain specific acoustic model parameters of the base speech recognizer by a speaker adaption technique. Said additional speech data corpus is exploited by said reestimation means for generating the adapted speech recognizer. The invention proposes smoothing means for smoothing the reestimated acoustic model parameters. A beneficial range for the smoothing factor of a Bayesian smoothing is given. It is further suggested to iterate the adaption process.</p> |
