Abstract: The invention relates to a wireless remote control system (100) for vehicle functions (13.1, 13.2), having a portable remote control unit (20) which comprises operator control elements for activating control signals which are exchanged with a vehicle mounted transmitter/receiver unit (11) in order to control the vehicle functions (13.1, 13.2). According to the invention, the remote control unit (20) comprises the following components: at least one first operator control element which has a predefined function of an electronic driving authorization and/or access authorization system (13.2) assigned to it, and at least one second operator control element and at least one display unit for menu prompted control of at least one ride level control system (13.1).

Abstract: A method for voice recognition, wherein a diagram method with integrated unequivocal syntax restriction is combined with an N-gram voice model with statistical word sequence evaluation in such a way that alternative recognition methods can be used in different segments of a word sequence.

Abstract: A speech dialog system wherein a process for automatic control of devices by speech dialog is used applying methods of speech input, speech signal processing and speech recognition, syntatical-grammatical postediting as well as dialog, executive sequencing and interface control, and which is characterized in that syntax and command structures are set during real-time dialog operation; preprocessing, recognition and dialog control are designed for operation in a noise-encumbered environment; no user training is required for recognition of general commands; training of individual users is necessary for recognition of special commands; the input of commands is done in linked form, the number of words used to form a command for speech input being variable; a real-time processing and execution of the speech dialog is established; and the speech input and output is done in the hands-free mode.

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.

Abstract: In a method for real time speech input of a destination address into a navigation system, the speech statements that are entered by a user are recognized by a speech recognition device and classified in accordance with their recognition probability. The speech statement with the greatest recognition probability is identified as the input speech statement, with at least one speech statement being an admissible speech command that activates the operating functions of the navigation system associated with this speech command. (All the admissible speech statements being stored in at least one database.) According to the invention, at least one operating function of the navigation system comprises an input dialogue. Following activation of that operating function, depending on the input dialogue, at least one lexicon is generated in real time from the admissible speech statements stored in at least one database, and the generated lexicon is loaded as vocabulary into the speech recognition device.

Abstract: In a speech recognition method for word sequences that are combined in sentences with defined syntax, syntax information is integrated into a speech model so as to unambiguously identify recurring words through indexing. As a result, the recognition process can be carried out in a manner similar to the situation without integration of the syntax information.