Source-based automatic speech recognition

US10950239B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10950239-B2
Application numberUS-201514920021-A
CountryUS
Kind codeB2
Filing dateOct 22, 2015
Priority dateOct 22, 2015
Publication dateMar 16, 2021
Grant dateMar 16, 2021

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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Abstract

Official abstract text for this publication.

Recognizing a user's speech is a computationally demanding task. If a user calls a destination server, little may be known about the user or the user's speech profile. The user's source system (device and/or server) may have an extensive profile of the user. As provided herein, a source device may provide translated text and/or speech attributes to a destination server. As a benefit, the recognition algorithm may be well tuned to the user and provide the recognized content to the destination. Additionally, the destination may provide domain attributes to allow the source recognition engine to better recognize the spoken content.

First claim

Opening claim text (preview).

What is claimed is: 1. A destination server, comprising: a network interface to a communications network; a microprocessor having access to the network interface; and the microprocessor that, via the network interface, engages in a call with a source server, the call comprising a voice channel comprising a spoken portion provided by a source user and a data channel comprising a machine-readable cue of the spoken portion and wherein the machine-readable cue comprises a speech attribute of the source user; wherein the microprocessor executes a speech recognition algorithm to recognize the spoken portion and wherein the speech recognition algorithm is seeded with the machine-readable cue; and wherein the microprocessor executes instructions in accordance with the microprocessor recognized spoken portion on the voice channel and the machine-readable cue received on the data channel. 2. The destination server of claim 1 , wherein the microprocessor receives indicia of source-side speech recognition. 3. The destination server of claim 2 , wherein the microprocessor, in response to receiving the indicia of source-side speech recognition, replies via the data channel with a domain attribute associated with the destination server. 4. The destination server of claim 1 , wherein the microprocessor executes a speech recognition algorithm utilizing an acoustic model, selected in accordance with the speech attribute of the source user in the machine-readable cue, and derives machine-readable content from a waveform portion of the call. 5. The destination server of claim 1 , wherein the machine-readable cue further comprises human-readable text of a machine-readable recognition of the spoken portion. 6. The destination server of claim 1 , wherein the data channel comprises a Real-Time Transport Protocol (RTP) text stream.

Assignees

Inventors

Classifications

  • using non-speech characteristics · CPC title

  • Multiple recognisers used in sequence or in parallel; Score combination systems therefor, e.g. voting systems · CPC title

  • G10L15/30Primary

    Distributed recognition, e.g. in client-server systems, for mobile phones or network applications · CPC title

  • Procedures used during a speech recognition process, e.g. man-machine dialogue · CPC title

  • Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation · CPC title

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What does patent US10950239B2 cover?
Recognizing a user's speech is a computationally demanding task. If a user calls a destination server, little may be known about the user or the user's speech profile. The user's source system (device and/or server) may have an extensive profile of the user. As provided herein, a source device may provide translated text and/or speech attributes to a destination server. As a benefit, the recogn…
Who is the assignee on this patent?
Avaya Inc
What technology area does this patent fall under?
Primary CPC classification G10L15/30. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Mar 16 2021 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).