Abstract: A speech recognition system recognizes spoken utterances received as a speech signal from a user. A prompt for requesting a spoken utterance from the user is assigned a response identifier which indicates at least one of a plurality of speech recognizers to best recognize a particular type of spoken utterance. The system includes a processor for receiving the speech signal from the user in response to the prompt. The processor also directs the speech signal to the at least one speech recognizer indicated by the response identifier. The speech recognizer generates a plurality of spoken utterance choices from the speech signal and a probability associated with each of the plurality of choices. At least one of the spoken utterance choices is selected based on the associated probabilities.

Abstract: The present invention relates to a method and apparatus for placing a message in digital data. The message is placed by manipulating certain data bits in a way that does not severely corrupt the data. The data can be mu-law encoded, wherein a value of 1 is assigned to one representation of zero, and a value of 0 is assigned to the other representation of zero. In this case, a message is placed in the data using these assigned values of 1 and 0.

Abstract: A speech recognition system recognizes spoken utterances received as a speech signal from a user. A prompt for requesting a spoken utterance from the user is assigned a response identifier which indicates at least one of a plurality of speech recognizers to best recognize a particular type of spoken utterance. The system includes a processor for receiving the speech signal from the user in response to the prompt. The processor also directs the speech signal to the at least one speech recognizer indicated by the response identifier. The speech recognizer generates a plurality of spoken utterance choices from the speech signal and a probability associated with each of the plurality of choices. At least one of the spoken utterance choices is selected based on the associated probabilities.

Abstract: A production script for interactions between participants and an automated data collection system is created by selectively tuning an experimental script through successive trials until a recognition rate of the system is at least an acceptability threshold. The data collection system uses a semi-constrained grammar, which is a practical accommodation of a larger range of possible inputs than a menu. The data collection system collects data by recognizing utterances from participants in accordance with the production script.