Abstract: A method, apparatus, and computer program product are therefore provided for disambiguating non-deterministic spoken dialog commands as they relate to points-of-interest and information regarding points-of-interest within or near the field of view of a user. An apparatus may include a processor and a memory including program code instructions. The program code instructions are configured to, when executed, cause the apparatus to at least: receive an indication of a user location; receive an indication of a field of view of the user at the location; receive a natural language utterance; generate, from the natural language utterance, a query, where the query includes at least one request determined from the natural language utterance, the location, and the field of view of the user; determine a point-of-interest associated with the query by conducting a search of a database using the generated query; and provide information associated with the point-of-interest via a user interface.

Abstract: A method, apparatus, and computer program product are therefore provided for disambiguating non-deterministic spoken dialog commands as they relate to points-of-interest and information regarding points-of-interest within or near the field of view of a user. An apparatus may include a processor and a memory including program code instructions.

Abstract: A method, apparatus, and computer program product are therefore provided for disambiguating non-deterministic spoken dialog commands as they relate to points-of-interest and information regarding points-of-interest within or near the field of view of a user. An apparatus may include a processor and a memory including program code instructions. The program code instructions are configured to, when executed, cause the apparatus to at least: receive an indication of a user location; receive an indication of a field of view of the user at the location; receive a natural language utterance; generate, from the natural language utterance, a query, where the query includes at least one request determined from the natural language utterance, the location, and the field of view of the user; determine a point-of-interest associated with the query by conducting a search of a database using the generated query; and provide information associated with the point-of-interest via a user interface.

Abstract: An approach is provided for global voice-based entry of location information. The approach involves partitioning a global speech decoding graph into spatial partitions. The approach also involves determining key entities occurring in each spatial partitions to construct a combined set of key entities. The approach further involves creating a retrieval index to map the key entities in the combined set of key entities to a corresponding partition. A first partition, the combined set of key entities, and the retrieved index are stored in a memory of a device for processing a voice input signal. A second partition that is not in the memory of the device is retrieved based on the combined set of key entities and the retrieval index to automatically re-process the voice input signal when an out-of-vocabulary result is obtained from the first partition.

Abstract: A method, apparatus, and computer program product are therefore provided for disambiguating non-deterministic spoken dialog commands as they relate to points-of-interest and information regarding points-of-interest within or near the field of view of a user. An apparatus may include a processor and a memory including program code instructions.

Abstract: An approach is provided for global voice-based entry of location information. The approach involves partitioning a global speech decoding graph into spatial partitions. The approach also involves determining key entities occurring in each spatial partitions to construct a combined set of key entities. The approach further involves creating a retrieval index to map the key entities in the combined set of key entities to a corresponding partition. A first partition, the combined set of key entities, and the retrieved index are stored in a memory of a device for processing a voice input signal. A second partition that is not in the memory of the device is retrieved based on the combined set of key entities and the retrieval index to automatically re-process the voice input signal when an out-of-vocabulary result is obtained from the first partition.