Abstract: Methods and systems are provided for active noise control in a vehicle. The system includes a position sensor for sensing an occupant position. A microphone receives audible noise and generates an error signal corresponding to the audible noise. A first controller is configured to receive the error signal from the microphone and generate a modified error signal by modifying the error signal based on the occupant position with respect to the microphone. A second controller is in communication with the first controller and configured to generate an anti-noise signal based at least in part on the modified error signal. The system also includes a loudspeaker in communication with the second controller for receiving the anti-noise signal from the second controller and producing sound corresponding to the anti-noise signal to negate at least some of the audible noise.

Abstract: A directional horn may include at least one group of a plurality of speakers or audio emitters. The audio emitters may each emit and audio signal at a same frequency. A processor may control a relative phase difference and relative gain difference between each audio signal, based on a determined direction. The directional horn may be positioned on a vehicle. The determined direction may be based on a direction indicated by a driver controlling the vehicle, external environmental factors, vehicle dynamics, or other factors.

Abstract: Methods and apparatus for creating and managing multiple dialogue models in a statistical dialogue modeling system capable of learning, and conducting human-machine dialogues based on selected models. Dialogue models are selected according to feature vectors that describe characteristics of the dialogue participants and their current situation. Mobile apparatus in motor vehicles can provide optimized dialogue service to occupants of the motor vehicles according to vehicle location and route, in addition to personal characteristics of the occupants, whether driver or passenger. When networked via a remote dialogue server, a large pool of dialogue participants is available for automatic building of dialogue models suitable for handling a variety of situations and participants.

Abstract: Estimating cognitive-load of a user in human-machine interaction by identifying an expression of cognitive-load within a user expression captured by a dialogue system and using a user model to estimate a level of the cognitive-load based on the expression of cognitive-load.

Abstract: Methods and systems for reducing driver distraction and situation non-awareness related to a dialogue of an automated dialogue system in a vehicle. For a dialogue policy learning session, driver distraction is introduced as an input into a penalty assigner that assesses dialogue quality, and dialogue acts are extended to include dialogues and dialogue act presentation styles which reduce driver workload related to dialogues. The automated dialogue system policy is developed during the learning process by optimizing the penalties, so that automated dialogue workload is reduced in response to increased workload or anticipated workload on the driver. Methods and systems are presented for responding to both actual workload in regular vehicles as well as anticipated workload in autonomous vehicles.

Abstract: A method for providing audible signals (such as speech) to a driver of a vehicle which appear to originate from a virtual sound source in front of the driver, so that it will feel normal for the driver to respond interactively by speaking without turning the head to the source of the audible signal. The driver's head position is estimated according to data provided by sensors in the driver's seat, and this position data, together with acoustical characteristics of the vehicle interior, is used to derive a transfer function for filtering electrical audible signals to the loudspeakers to simulate a virtual sound source in front of the driver.

Abstract: A directional horn may include at least one group of a plurality of speakers or audio emitters. The audio emitters may each emit and audio signal at a same frequency. A processor may control a relative phase difference and relative gain difference between each audio signal, based on a determined direction. The directional horn may be positioned on a vehicle. The determined direction may be based on a direction indicated by a driver controlling the vehicle, external environmental factors, vehicle dynamics, or other factors.

Abstract: Sound related vehicle information representing one or more sounds may be received in a processor associated with a vehicle. The sound related vehicle information may or may not include an audio signal. An audio signal output to a passenger may be modified based on the sound related vehicle information.

Abstract: Sound related vehicle information representing one or more sounds may be received in the processor. The sound related vehicle information may or may not include an audio signal. Spoken dialogue of a spoken dialogue system associated with the vehicle based on the sound related vehicle information may be modified.

Abstract: An audio signal may be received, in a processor associated with a vehicle. Sound related vehicle information representing one or more sounds may be received by the processor. The sound related vehicle information may or may not include an audio signal. A speech recognition process or system may be modified based on the sound related vehicle information.

Abstract: A unified microphone pre-processing system includes a plurality of microphones arranged within a vehicle passenger compartment, a processing circuit or system configured to receive signals from one or more of the plurality of microphones, and the processing circuit configured to enhance the received signals for use by at least two of a telephony processing application, an automatic speech recognition processing application, and a noise cancellation processing application. The method includes receiving signals from one or more of a plurality of microphones arranged within a vehicle passenger compartment, and enhancing the received signals for use by at least two of a telephony processing application, an automatic speech recognition processing application, and a noise cancellation processing application. A computer readable medium containing executable instructions to cause a processor to perform a method in accordance with an embodiment of the invention is also described.

Abstract: A method for matching an input pattern with a number of stored reference patterns using a dynamic programming matching technique is described. The reference patterns of a reference signal which are at the end of a dynamic programming path for a current input pattern are listed in an active list. The dynamic programming paths are propagated by processing the reference patterns on the active list, and a new active list is generated for the succeeding input pattern. The amount of processing required for each pattern on the active list is reduced by using a pointer which identifies the reference pattern which is the earliest in the sequence of patterns of the current reference signal listed on the new active list during the processing of a preceding dynamic programming path. In a second aspect, a speech recognition interface is used as a control system for a telephony system.

Abstract: A method and apparatus is provided for matching a first sequence of patterns representative of a first signal with a second sequence of patterns representative of a second signal. The system uses a plurality of different pruning thresholds (th) to control the propagation of paths which represent possible matchings between a sequence of second signal patterns and a sequence of first signal patterns ending at the current first signal pattern. In particular, the pruning threshold used for a given path during the processing of a current first signal pattern depends upon the position, within the sequence of patterns representing the second signal, of the second signal pattern which is at the end of the given path.

Abstract: A method for matching an input pattern with a number of stored reference patterns using a dynamic programming matching technique is described. The reference patterns of a reference signal which are at the end of a dynamic programming path for a current input pattern are listed in an active list. The dynamic programming paths are propagated by processing the reference patterns on the active list, and a new active list is generated for the succeeding input pattern. The amount of processing required for each pattern on the active list is reduced by using a pointer which identifies the reference pattern which is the earliest in the sequence of patterns of the current reference signal listed on the new active list during the processing of a preceding dynamic programming path. In a second aspect, a speech recognition interface is used as a control system for a telephony system.

Abstract: A method and apparatus is provided for matching a first sequence of patterns representative of a first signal with a second sequence of patterns representative of a second signal. The system uses a plurality of different pruning thresholds (th) to control the propagation of paths which represent possible matchings between a sequence of second signal patterns and a sequence of first signal patterns ending at the current first signal pattern. In particular, the pruning threshold used for a given path during the processing of a current first signal pattern depends upon the position, within the sequence of patterns representing the second signal, of the second signal pattern which is at the end of the given path.

Abstract: In an apparatus for extracting information from an input speech signal, a preprocessor, a buffer, a segmenter, an acoustic classifier and a feature extractor are provided. The preprocessor generates formant related information for consecutive time frames of the input speech signal. This formant related information is fed into the buffer, which can store signals representative of a plurality of frames. The segmenter monitors the signals representative of the incoming frames and identifies segments in the input speech signal during which variations in the formant related information remain within prespecified limits. The acoustic classifier then determines classification information for each segment identified by the segmenter, based on acoustic classes found in training data. The feature estimator then determines, for each segment, the information required, based on the input speech signal during that segment, training data and the classification information determined by the acoustic classifier.

Abstract: A method and apparatus is provided for matching a first sequence of patterns representative of a first signal with a second sequence of patterns representative of a second signal. The system uses a plurality of different pruning thresholds (th) to control the propagation of paths which represent possible matchings between a sequence of second signal patterns and a sequence of first signal patterns ending at the current first signal pattern. In particular, the pruning threshold used for a given path during the processing of a current first signal pattern depends upon the position, within the sequence of patterns representing the second signal, of the second signal pattern which is at the end of the given path.

Abstract: A method and apparatus for matching a first sequence of patterns representative of a first signal with a second sequence of patterns representative of a second signal using a dynamic programming matching technique is described. The second signal patterns which are at the end of a dynamic programming path for a current first signal pattern are listed in an active list 201. The dynamic programming paths are propagated by processing the second signal patterns on the active list, and a new active list 205 is generated for the succeeding input pattern. In order to propagate each path, the system determines how many second signal patterns lie within an overlap region in which a comparison has to be made, and processes each path in dependence upon the determined amount of overlap.

Abstract: An apparatus for manipulating the colour of an image is provided, having a microphone for providing electrical speech signals representative of a user command, a speech recognition unit for recognizing the input speech signal, a command interpreter for interpreting the recognized speech, a graphics package responsive to the command interpreter and a display for displaying the current image being edited. The apparatus accepts other inputs, for example, from a pointing device.

Abstract: A method for matching an input pattern with a number of stored reference patterns using a dynamic programming matching technique is described. The reference patterns of a reference signal which are at the end of a dynamic programming path for a current input pattern are listed in an active list. The dynamic programming paths are propagated by processing the reference patterns on the active list, and a new active list is generated for the succeeding input pattern. The amount of processing required for each pattern on the active list is reduced by using a pointer which identifies the reference pattern which is the earliest in the sequence of patterns of the current reference signal listed on the new active list during the processing of a preceding dynamic programming path. In a second aspect, a speech recognition interface is used as a control system for a telephony system.