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Signal processing systems and methods

A signal processing and signal technology, applied in speech analysis, instruments, etc., can solve the problems of insufficient separation of microphones, etc.

Active Publication Date: 2019-10-18
ANALOG DEVICES INC
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, beamforming methods can be limited by insufficient separation of, for example, microphones

Method used

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  • Signal processing systems and methods
  • Signal processing systems and methods
  • Signal processing systems and methods

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Embodiment Construction

[0035] In general, embodiments described herein are concerned with the problem of obtaining a collection of audio signals that typically represent a combination of signals from multiple sources, and of processing the signal to separate the signal of a particular source of interest from other undesired signals. At least some embodiments are concerned with the problem of isolating signals of interest for automatic speech recognition when the acquired signal includes the intonation of the speech of interest and interfering speech and / or non-verbal signals. Other embodiments deal with the problem of enhancing audio signals for presentation to human listeners. Still other embodiments relate to other forms of automatic language processing, such as speaker verification or voice-based search queries.

[0036] Embodiments also include one or both of: (a) obtaining orientation information during audio signal acquisition, and (b) processing the audio signal in a multi-tier architecture w...

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Abstract

An approach to processing of acoustic signals acquired at a user's device include one or both of acquisition of parallel signals from a set of closely spaced microphones, and use of a multi-tier computing approach in which some processing is performed at the user's device and further processing is performed at one or more server computers in communication with the user's device. The acquired signals are processed using time versus frequency estimates of both energy content as well as direction of arrival. In some examples, a non-negative matrix or tensor factorization approach is used to identify multiple sources each associated with a corresponding direction of arrival of a signal from that source. In some examples, data characterizing direction of arrival information is passed from the user's device to a server computer where direction-based processing is performed.

Description

[0001] Cross References to Related Applications [0002] This application claims the benefit of the following applications, each of which is incorporated herein by reference: [0003] U.S. Provisional Application No. 61 / 881,678 entitled "TIME-FREQUENCY DIRECTIONAL FACTORIZATION FOR SOURCE SEPARATION" filed on September 24, 2013; [0004] U.S. Provisional Application No. 61 / 881,709, filed September 24, 2013, entitled "SOURCE SEPARATION USING DIRECTION OFARRIVAL HISTOGRAMS" (Source Separation Using Direction of Arrival Histograms); [0005] · U.S. Provisional Application No. 61 / 919,851 entitled "SMOOTHING TIME-FREQUENCY SOURCESEPARATION MASKS" filed September 23, 2013; [0006] U.S. Application No. 14 / 138,587, filed September 23, 2013, and published August 14, 2014 as U.S. Patent Publication 2014 / 0226838, entitled "SIGNAL SOURCE SEPARATION"; and [0007] U.S. provisional application titled "APPARATUS, SYSTEMS, AND METHODS FORPROVIDING CLOUD BASED BLIND SOURCE SEPARATION SERVICES...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L21/0272
Inventor N·斯特因J·特拉D·温格特
Owner ANALOG DEVICES INC
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