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US 10,475,447 B2Granted
Acoustic and domain based speech recognition for vehicles
AssigneeFord Global Technologies, LLC
InventorsAn Ji, Scott Andrew Amman, Brigitte Frances Mora Richardson, John Edward Huber, Francois Charette, Ranjani Rangarajan, Gintaras Vincent Puskorius, Ali Hassani
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Abstract
A processor of a vehicle speech recognition system recognizes speech via domain-specific language and acoustic models. The processor further, in response to the acoustic model having a confidence score for recognized speech falling within a predetermined range defined relative to a confidence score for the domain-specific language model, recognizes speech via the acoustic model only.
Claims12
A speech recognition method comprising:
- executing, by a processor, a vehicle command identified from a signal containing speech according to a recognition hypothesis selected from a plurality of hypotheses that are each based on a product of a common speech domain pair, the common speech domain pair including (i) one of a plurality of domain-specific language model confidence scores derived from the speech and application of a machine-learning algorithm to vehicle state inputs and (ii) one of a plurality of acoustic model confidence scores;
- and
- proportionally decreasing, by the processor, the one of the plurality of domain-specific language model confidence scores prior to generation of the product based on the one of the plurality of acoustic model confidence scores falling within a predetermined range that is defined relative to the one of the plurality of domain-specific language model confidence scores.
A speech recognition system comprising:
- a processing device programmed to
- execute a vehicle command identified from a signal containing speech according to a recognition hypothesis selected from a plurality of hypotheses that are each based on a product of a common speech domain pair, the common speech domain pair including (i) one of a plurality of domain-specific language model confidence scores derived from the speech and application of a machine-learning algorithm to vehicle state inputs and (ii) one of a plurality of acoustic model confidence scores, and
- proportionally decreasing the one of the plurality of domain-specific language model confidence scores prior to generation of the product based on the one of the plurality of acoustic model confidence scores falling within a predetermined range that is defined relative to the one of the plurality of domain-specific language model confidence scores.
Dependencies are inferred from the claim text.