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To train a speech recognizer, a new voice message (one or a few isolated words), after being spoken by a user, is converted into a token. The token is then compared with a plurality of templates stored in the recognizer and a recognition score is obtained each time. The templates previously stored i

To train a speech recognizer, a new voice message (one or a few isolated words), after being spoken by a user, is converted into a token. The token is then compared with a plurality of templates stored in the recognizer and a recognition score is obtained each time. The templates previously stored in the recognizer include templates for previously trained voice messages and one or more previously formed templates of the new voice message. Three tests are applied to the recognition scores to determine if the token and one of the previously formed templates of the new voice message can become paradigm templates, if the new voice message is too close in pronunciation to a voice message the recognizer has been previously trained to recognize, or if the user should repeat the new voice message to form another token. This training procedure provides a certain level of automatic control over the training process of a speaker dependent speech recognizer in an otherwise unsupervised environment. It prevents a user from adding a new voice message which is similar to a voice message the recognizer has previously been trained to recognize and insures a consistent pronunciation for all templates corresponding to the same voice message.

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A process for training a speaker dependent speech recognizer comprising the steps of: (1) prompting a user to speak a new voice message that the user currently desires the recognizer to be trained to recognize for the ith time, i≥2, (2) converting said new voice message spoken for the ith time into

A process for training a speaker dependent speech recognizer comprising the steps of: (1) prompting a user to speak a new voice message that the user currently desires the recognizer to be trained to recognize for the ith time, i≥2, (2) converting said new voice message spoken for the ith time into a new token, (3) comparing the new token to templates of voice messages that the recognizer has been previously trained to recognize and one or more previously formed templates of the new voice message to obtain a recognition score of the token with respect to all of said templates, (4) storing the new token as a template, (5) applying a first test which is passed if the best of said recognition scores is greater than a first threshold (6) determining if the best recognition score was obtained with a template of a voice message the recognizer has been previously trained to recognize or with a previously formed template of the new voice message, (7) if the best recognition score was obtained with a previously formed template of the new voice message, (a) applying a second test which is passed if the difference between the best recognition score made with a template of a voice message the recognizer was previously trained to recognize and best recognition score made with a previously formed template of said new voice message exceeds a second threshold, (b) performing a third test which is passed if the best recognition score falls below a third threshold, (c) if said second and third tests are passed and if the template which produced the best recognition score passed the first test at the time it was the token, then said new token and said template with said best recognition score are stored as first and second templates of the new voice message, which new voice message can now be recognized by said recognizer (d) if said second test is not passed and said third test is passed, or if said second and third tests are passed but said template with the best recognition score has not passed the first test at the time it was a token, prompting the user with a message that the new voice message is too similar to a voice message that the recognizer has been previously trained to recognize.