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Recogniser specific parameters

Often speech recognition has some tunable parameters that influence performance. It is impossible to give an exhaustive list of possible recogniser-specific parameters. Typical parameters are: energy threshold s for word detection, minimum time gap between words, acceptance threshold , noise rejection  and input gain. Sometimes the character of the recogniser can be tuned, by setting parameters such as the number of states in the Hidden Markov Models   that are used to build the word models .

It is important to make a list of all parameters and record the values of these before a training  or testing session .

It may be difficult to find starting values for these recogniser-specific parameters; in this case the system's manual or the company's help-desk should provide this information.

EAGLES SWLG SoftEdition, May 1997. Get the book...