SELECTIVE SPEECH RECOGNITION FOR CHAT AND DIGITAL PERSONAL ASSISTANT SYSTEMS

• US 20160260434A1
• Filed: 05/14/2016
• Published: 09/08/2016
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Ooo Speaktoit
• Inventors: Gelfenbeyn, Ilya Genadevich, Goncharuk, Artem, Platonov, Ilya Andreevich, Sirotin, Pavel Aleksandrovich, Gelfenbeyn, Olga Aleksandrovna
• Granted Patent: US 9,865,264 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G10L 15/02 Feature extraction for speech recognition; Selection of recognition unit
• CPC Class Codes: G10L 15/07 to the speaker
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 15/32 Multiple recognisers used in sequence or in parallel; Score combination systems therefor, e.g. voting systems
• CPC Class Codes: G10L 2015/088 Word spotting
• CPC Class Codes: G10L 2015/223 Execution procedure of a spoken command
• CPC Class Codes: G10L 2015/228 of application context

Abstract

Disclosed are computer-implemented methods and systems for dynamic selection of speech recognition systems for the use in Chat Information Systems (CIS) based on multiple criteria and context of human-machine interaction. Specifically, once a first user audio input is received, it is analyzed so as to locate specific triggers, determine the context of the interaction or predict the subsequent user audio inputs. Based on at least one of these criteria, one of a free-diction recognizer, pattern-based recognizer, address book based recognizer or dynamically created recognizer is selected for recognizing the subsequent user audio input. The methods described herein increase the accuracy of automatic recognition of user voice commands, thereby enhancing overall user experience of using CIS, chat agents and similar digital personal assistant systems.

Claims

1. A method for speech recognition in a chat information system (CIS), the method comprising:

receiving, by a processor operatively coupled with a memory, a first audio input;

recognizing, by a first speech recognizer of a plurality of speech recognizers, at least a part of the first audio input to generate a first recognized input;

providing, by the processor, a response to the first recognized input utilizing the CIS;

determining, by the processor, a type of the response;

receiving, by the processor, a second audio input;

based on the determination, selecting, by the processor, a second speech recognizer of the plurality of speech recognizers; and

recognizing, by the second speech recognizer, at least a part of the second audio input to generate a second recognized input.

2. The method of claim 1, wherein the selecting of the second speech recognizer includes selecting, by the processor, a free-dictation recognizer, when the type of response defines that the second audio input includes a free speech of a user.

3. The method of claim 1, wherein the selecting of the second speech recognizer includes selecting, by the processor, a pattern-based recognizer, when the type of response defines that the second audio input includes a pattern-based speech of a user.

4. The method of claim 1, wherein the selecting of the second speech recognizer includes selecting, by the processor, an address book based recognizer, when the type of response defines that the second audio input includes a name or nickname from a digital address book.

5. The method of claim 1, wherein the selecting of the second speech recognizer includes selecting, by the processor, a dynamically created recognizer, when the type of response defines that the second audio input includes an item from a list storing items of the same type.

6. The method of claim 1, wherein the response generated by the CIS.

7. The method of claim 1, further comprising generating, by the processor, a second response utilizing the CIS based at least in part on the second recognized input.