Abstract: The invention provides a system and method for activating an in-vehicle wireless communication device. A mobile identification number associated with the wireless communication device is provided. A broadcast signal containing the mobile identification number and a satellite radio subscriber identifier is received at an in-vehicle satellite radio receiver. The mobile identification number is stored in the wireless communication device based on the satellite radio subscriber identifier.

Abstract: The invention provides a system and method for activating an in-vehicle wireless communication device. A mobile identification number associated with the wireless communication device is provided. A broadcast signal containing the mobile identification number and a satellite radio subscriber identifier is received at an in-vehicle satellite radio receiver. The mobile identification number is stored in the wireless communication device based on the satellite radio subscriber identifier.

Abstract: A method for correcting cepstral vectors representative of speech generated in a test environment by use of a vector quantization (VQ) system with a codebook of vectors that was generated using speech and acoustic data from a different (training) environment. The method uses a two-step correction to produce test environment cepstral vectors with reduced non-speech acoustic content. The first correction step subtracts, from the test vector, a coarse correction vector that is computed from an average of test environment cepstral vectors. The second step involves a VQ of the coarsely corrected test vector at each node of the VQ tree. The third step is the addition of a fine correction vector to the coarsely corrected test vector that is generated by subtracting a running (moving) average of the coarsely corrected test vectors associated with the deepest VQ tree node from the VQ vector closest to the coarsely corrected test vector.

Abstract: A system for generating a signal proportional to the useability of the output of a speech recognition system comprises a processor, an engine, and a histogram object. The histogram object comprises a first histogram constructed from the confidence scores of correctly recognized utterances and a second histogram constructed form incorrectly recognized utterances. The present invention also includes a system and method for constructing the histogram object comprising a processor, a data memory, and an engine. The data memory comprises a plurality of output records where each output record contains the confidence score for an utterance recognized by the speech recognition system and an indicator of whether or hot the speech recognition system correctly recognized the utterance.

Abstract: As a step in finding the one most likely word sequence in a spoken language system, an N-best search is conducted to find the N most likely sentence hypotheses. During the search, word theories are distinguished based only on the one previous word. At each state within a word, the total probability is calculated for each of a few previous words. At the end of each word, the probability score is recorded for each previous word theory, together with the name of the previous word. At the end of the sentence, a recursive traceback is performed to derive the list of the N best sentences.