Abstract: The invention provides a speech recognition method for selecting a combination of list elements via a speech input, wherein a first list element of the combination is part of a first set of list elements and a second list element of the combination is part of a second set of list elements, the method comprising the steps of receiving the speech input, comparing each list element of the first set with the speech input to obtain a first candidate list of best matching list elements, processing the second set using the first candidate list to obtain a subset of the second set, comparing each list element of the subset of the second set with the speech input to obtain a second candidate list of best matching list elements, and selecting a combination of list elements using the first and the second candidate list.

Abstract: A system is provided for recognizing speech for searching a database. The system receives speech input as a spoken search request and then processes the speech input in a speech recognition step using a vocabulary for recognizing the spoken request. By processing the speech input words recognized in the speech input and included in the vocabulary are obtained to form at least one hypothesis. The hypothesis is then utilized to search a database using the at least one hypothesis as a search query. A search result is then received from the database and provided to the user.

Abstract: The invention provides a speech recognition method for selecting a combination of list elements via a speech input, wherein a first list element of the combination is part of a first set of list elements and a second list element of the combination is part of a second set of list elements, the method comprising the steps of receiving the speech input, comparing each list element of the first set with the speech input to obtain a first candidate list of best matching list elements, processing the second set using the first candidate list to obtain a subset of the second set, comparing each list element of the subset of the second set with the speech input to obtain a second candidate list of best matching list elements, and selecting a combination of list elements using the first and the second candidate list.

Abstract: A system is provided for recognizing speech for searching a database. The system receives speech input as a spoken search request and then processes the speech input in a speech recognition step using a vocabulary for recognizing the spoken request. By processing the speech input words recognized in the speech input and included in the vocabulary are obtained to form at least one hypothesis. The hypothesis is then utilized to search a database using the at least one hypothesis as a search query. A search result is then received from the database and provided to the user.

Abstract: In many real applications such as voice control in vehicles there is the problem that the users change relatively frequently. Then the question arises: which is the correct data set for the current user? The invention provides a process making it possible automatically for the duration of operation of the system to recognize whether the speaker changes, or which (speaker dependent) data set is correct for the actual user. This task is solved by a speech recognition system which is based on a so-called Semi-Continuous Hidden Markov Model (SCHMM). Codebooks are produced, normal distribution is represented, speaker-specific data sets are stored in addition to a so-called base-line data set, and the inventive speech recognition system correlates the speech signal by means of vector quantitization with the speaker-independent and the speaker-dependent codebooks, making it possible to ascertain the identity of the speaker.