Methods and systems for speech adaptation data

Patent metadata

Field	Value
Publication number	US-9305565-B2
Application number	US-201213609143-A
Country	US
Kind code	B2
Filing date	Sep 10, 2012
Priority date	May 31, 2012
Publication date	Apr 5, 2016
Grant date	Apr 5, 2016

Abstract

Computationally implemented methods and systems include receiving speech data correlated to one or more words spoken by a particular party, receiving adaptation data that is at least partly based on at least one speech interaction of a particular party that is discrete from the received speech data, wherein at least a portion of the adaptation data has been stored on a particular device associated with the particular party, obtaining target data regarding a target configured to process at least a portion of the received speech data, and determining whether to apply the adaptation data for processing at least a portion of the received speech data, at least partly based on the acquired target data. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

First claim

What is claimed is:

1. A computationally-implemented method, comprising:
receiving speech data correlated to one or more words spoken by a particular party;
receiving adaptation data that is at least partly based on at least one speech interaction of the particular party that is discrete from the speech data, wherein at least a portion of the adaptation data has been stored on a particular device associated with the particular party;
obtaining target device data indicating whether a target device in communication with the particular device associated with the particular party is configured to process at least a portion of the speech data;
applying, at least partially via the target device, the adaptation data for processing at least a portion of the speech data, at least partly based on the target device data indicating that the speech data has arrived at an intended target device; and
transmitting adaptation result data that is based on at least one aspect of the speech data.

2. The computationally-implemented method of claim 1 , wherein said receiving speech data correlated to one or more words spoken by a particular party includes:
receiving speech data comprising a representation of speech that is spoken by the particular party.

3. The computationally-implemented method of claim 2 , wherein said receiving speech data comprising a representation of speech that is spoken by the particular party includes:
receiving speech data corresponding to received speech spoken by the particular party that has been at least partially processed.

4. The computationally-implemented method of claim 1 , wherein said receiving speech data correlated to one or more words spoken by a particular party includes:
receiving, from a further device, speech data correlated to one or more words spoken by a particular party.

5. The computationally-implemented method of claim 4 , wherein said receiving, from a further device, speech data correlated to one or more words spoken by a particular party includes:
receiving, from the further device, audio data derived from one or more words spoken by the particular party.

6. The computationally-implemented method of claim 5 , wherein said receiving, from the further device, audio data derived from one or more words spoken by the particular party includes:
receiving, from the further device, audio data derived by the further device from one or more words spoken by the particular party and detected by the particular device.

7. The computationally-implemented method of claim 1 , wherein said receiving adaptation data that is at least partly based on at least one speech interaction of the particular party that is discrete from the speech data, wherein at least a portion of the adaptation data has been stored on a particular device associated with the particular party includes:
receiving adaptation data from a further device, said adaptation data at least partly based on at least one speech interaction of the particular party that is discrete from the speech data, wherein at least a portion of the adaptation data has been stored on the particular device associated with the particular party.

8. The computationally-implemented method of claim 7 , wherein said receiving adaptation data from a further device, said adaptation data at least partly based on at least one speech interaction of the particular party that is discrete from the speech data, wherein at least a portion of the adaptation data has been stored on the particular device associated with the particular party includes:
receiving adaptation data from a further device, said adaptation data originating at the further device and at least partly based on least one speech interaction of the particular party that is discrete from the speech data, wherein at least a portion of the adaptation data has been stored on the particular device associated with the particular party.

9. The computationally-implemented method of claim 7 , wherein said receiving adaptation data from a further device, said adaptation data at least partly based on at least one speech interaction of the particular party that is discrete from the speech data, wherein at least a portion of the adaptation data has been stored on the particular device associated with the particular party includes:
receiving adaptation data from a further device related to the particular device, said adaptation data originating at the further device and at least partly based on least one speech interaction of the particular party that is discrete from the speech data, wherein at least a portion of the adaptation data has been stored on the particular device associated with the particular party.

10. The computationally-implemented method of claim 9 , wherein said receiving adaptation data from a further device related to the particular device, said adaptation data originating at the further device and at least partly based on least one speech interaction of the particular party that is discrete from the speech data, wherein at least a portion of the adaptation data has been stored on the particular device associated with the particular party includes:
receiving adaptation data from a further device associated with the particular party, said adaptation data originating at the further device and at least partly based on least one speech interaction of the particular party that is discrete from the speech data, wherein at least a portion of the adaptation data has been stored on the particular device associated with the particular party.

11. The computationally-implemented method of claim 7 , wherein said receiving adaptation data from a further device, said adaptation data at least partly based on at least one speech interaction of the particular party that is discrete from the speech data, wherein at least a portion of the adaptation data has been stored on the particular device associated with the particular party includes:
receiving adaptation data from a further device, said adaptation data received by the further device from the particular device, and said adaptation data at least partly based on least one speech interaction of the particular party that is discrete from the speech data, wherein at least a portion of the adaptation data has been stored on the particular device associated with the particular party.

12. The computationally-implemented method of claim 1 , wherein said receiving adaptation data that is at least partly based on at least one speech interaction of the particular party that is discrete from the speech data, wherein at least a portion of the adaptation data has been stored on a particular device associated with the particular party includes:
receiving adaptation data that is at least partly based on at least one speech interaction of the particular party that used one or more same utterances as speech used in the speech data, said one or more same utterances spoken to a different device than a target device to which the detected speech data is directed.

13. The computationally-implemented method of claim 1 , wherein said receiving adaptation data that is at least partly based on at least one speech interaction of the particular party that is discrete from the speech data, wherein at least a portion of the adaptation data has been stored on a particular device associated with the particular party includes:
receiving adaptation data that is at least partly based on at least one speech interaction of the particular party that is discrete from the speech data, wherein at least a portion of the adaptation data was collected by the particular device associated with the particular party.

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Assignees

• Levien Royce A
• Lord Richard T
• Lord Robert W
• Malamud Mark A
• Elwha Llc

Inventors

• Levien Royce A
• Lord Richard T
• Lord Robert W
• Malamud Mark A

Classifications

• G10L15/07 Primary

  to the speaker · CPC title

• G10L21/00 Primary

  Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility (G10L19/00 takes precedence) · CPC title

• G10L15/065

  Adaptation · CPC title

• G10L15/063

  Training · CPC title

• G10L15/06

  Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice (G10L15/14 takes precedence) · CPC title