Abstract: Systems, devices, and techniques are provided for occupancy assessment of a vehicle. For one or more occupants of the vehicle, the occupancy assessment establishes position and/or identity for some or all of the occupant(s).

Abstract: Systems, devices, and techniques are provided for occupancy assessment of a vehicle. For one or more occupants of the vehicle, the occupancy assessment establishes position and/or identity for some or all of the occupant(s).

Abstract: Systems, devices, and techniques are provided for occupancy assessment of a vehicle. For one or more occupants of the vehicle, the occupancy assessment establishes position and/or identity for some or all of the occupant(s).

Abstract: Systems, devices, and techniques are provided for occupancy assessment of a vehicle. For one or more occupants of the vehicle, the occupancy assessment establishes position and/or identity for some or all of the occupant(s).

Abstract: A system and method of multi-pass recognition for conversational spoken dialogue systems includes two speech recognizers: a first recognizer that implements, for example, a statistical language model (SLM) and a second recognizer that implements, for example, a grammar-based model. A word-spotting speech recognizer may be included, as may confidence estimators for each speech recognizer. The system and method provide a multi-pass approach to speech recognition, which reevaluates speech inputs to improve recognition where confidence scores returned from confidence estimators are low.

Abstract: A speech recognition system includes a user profile to store acoustic data and a corresponding text transcript. A speech recognition (“SR”) server downloads the acoustic data and the corresponding text transcript that are stored in the user profile. A speech recognition engine is included to adapt an acoustic model based on the acoustic data.

Abstract: The invention relates to unified client-server distributed architectures for spoken dialogue systems. Particularly, the invention provides a method, apparatus, and system for dynamically switching between various architectural configurations based upon user functionality and network conditions to implement speech recognition functions for a spoken dialogue system. In one embodiment, a client device is coupled to a server through a network. A configuration selection switch located within the client device selects a configuration based upon user functionality and network conditions to implement speech recognition functions for the spoken dialogue system. For example, the configuration selection switch may select one of a client-based configuration, a server-based configuration, a client-server distributed configuration, or a client-gateway-server distributed configuration based upon user functionality and network conditions.

Abstract: A speech recognition system includes a user profile to store acoustic data and a corresponding text transcript. A speech recognition (“SR”) server downloads the acoustic data and the corresponding text transcript that are stored in the user profile. A speech recognition engine is included to adapt an acoustic model based on the acoustic data.

Abstract: A system and method of multi-pass recognition for conversational spoken dialogue systems includes two speech recognizers: a first recognizer that implements, for example, a statistical language model (SLM) and a second recognizer that implements, for example, a grammar-based model. A word-spotting speech recognizer may be included, as may confidence estimators for each speech recognizer. The system and method provide a multi-pass approach to speech recognition, which reevaluates speech inputs to improve recognition where confidence scores returned from confidence estimators are low.

Abstract: The invention relates to unified client-server distributed architectures for spoken dialogue systems. Particularly, the invention provides a method, apparatus, and system for dynamically switching between various architectural configurations based upon user functionality and network conditions to implement speech recognition functions for a spoken dialogue system. In one embodiment, a client device is coupled to a server through a network. A configuration selection switch located within the client device selects a configuration based upon user functionality and network conditions to implement speech recognition functions for the spoken dialogue system. For example, the configuration selection switch may select one of a client-based configuration, a server-based configuration, a client-server distributed configuration, or a client-gateway-server distributed configuration based upon user functionality and network conditions.

Abstract: The invention provides for the adaption of acoustic models for a client device at a server. For example, a server can couple to a client device having speech recognition functionality. An acoustic model adaptor can be located at the server and can be used to adapt an acoustic model for the client device. The client device can be a mobile computing device and the server can be coupled to the mobile client device through a network. The acoustic model adaptor adapts the acoustic model for the mobile client device based upon digitized raw speech data or extracted speech feature data received from the client device when there is a network connection between the client device and the server. The server stores the adapted acoustic model. The mobile client device can download the adapted acoustic model and store the adapted acoustic model locally at the client device.