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US Patent 11837253 Distinguishing user speech from background speech in speech-dense environments

Patent 11837253 was granted and assigned to Vocollect on December, 2023 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
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Vocollect
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Current Assignee
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Vocollect
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118372530
Patent Inventor Names
David D. Hardek0
Date of Patent
December 5, 2023
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Patent Application Number
174492130
Date Filed
September 28, 2021
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Patent Citations
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US Patent 6876968 Run time synthesizer adaptation to improve intelligibility of synthesized speech
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US Patent 6876987 Automatic confirmation of personal notifications
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US Patent 6879956 Speech recognition with feedback from natural language processing for adaptation of acoustic models
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US Patent 6882972 Method for recognizing speech to avoid over-adaptation during online speaker adaptation
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US Patent 6910012 Method and system for speech recognition using phonetically similar word alternatives
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US Patent 6917918 Method and system for frame alignment and unsupervised adaptation of acoustic models
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US Patent 6922466 System and method for assessing a call center
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US Patent 6922669 Knowledge-based strategies applied to N-best lists in automatic speech recognition systems
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Patent Primary Examiner
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Bharatkumar S Shah
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CPC Code
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G10L 15/16
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G10L 2025/783
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G10L 15/063
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G10L 15/07
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G10L 25/51
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G10L 25/84
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Patent abstract

A device, system, and method whereby a speech-driven system can distinguish speech obtained from users of the system from other speech spoken by background persons, as well as from background speech from public address systems. In one aspect, the present system and method prepares, in advance of field-use, a voice-data file which is created in a training environment. The training environment exhibits both desired user speech and unwanted background speech, including unwanted speech from persons other than a user and also speech from a PA system. The speech recognition system is trained or otherwise programmed to identify wanted user speech which may be spoken concurrently with the background sounds. In an embodiment, during the pre-field-use phase the training or programming may be accomplished by having persons who are training listeners audit the pre-recorded sounds to identify the desired user speech. A processor-based learning system is trained to duplicate the assessments made by the human listeners.

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