Microphone array system and a method for sound acquisition

• US 9,462,380 B2
• Filed: 11/26/2013
• Issued: 10/04/2016
• Est. Priority Date: 08/29/2008
• Status: Active Grant

• Current Assignee: Biamp Systems, LLC
• Original Assignee: Biamp Systems Corporation
• Inventors: McCowan, Iain Alexander
• Primary Examiner(s): KIM, PAUL
• Application Number:
  US14/090,912
• Publication Number:
  US 20150146882A1
• Time in Patent Office: 1,043 Days
• Field of Search: 381/92
• US Class Current: 1/1
• CPC Class Codes: H04R 2430/03 Synergistic effects of band splitting and sub-band processing
• CPC Class Codes: H04R 3/005 for combining the signals of two or more microphones specially adapted for hearing aids H04R25/407

Abstract

A microphone array system for sound acquisition from multiple sound sources in a reception space surrounding a microphone array that is interfaced with a beamformer module is disclosed. The microphone array includes microphone transducers that are arranged relative to each other in N-fold rotationally symmetry, and the beamformer includes beamformer weights that are associated with one of a plurality of spatial reception sectors corresponding to the N-fold rotational symmetry of the microphone array. Microphone indexes of the microphone transducers are arithmetically displaceable angularly about the vertical axis during a process cycle, so that a same set of beamformer weights is used selectively for calculating a beamformer output signal associated with any one of the spatial reception sectors. A sound source location module is also disclosed that includes a modified steered power response sound source location method. A post filter module for a microphone array system is also disclosed.

Claims

1. A method for processing output audio signals, the method including the steps of:

sampling the audio signals in a series of processing cycles to form discrete time domain signals;

in each processing cycle;

transforming the time domain signals into discrete frequency domain signals that each have a set of defined frequency bins;

defining a pre-filter mask vector for each discrete frequency domain signal for population with entries corresponding with respective frequency bins;

populating the pre-filter mask vector such that each entry has a defined high value if a value of the corresponding frequency bin is a highest value amongst associated frequency bins of the respective discrete frequency domain signals, otherwise each entry having a defined low value;

calculating an indicator value for each discrete frequency domain signal using the entries populating the pre-filter mask vector;

defining a post-filter mask vector for each discrete frequency domain signal with entries corresponding to the entries of the pre-filter mask vector;

populating the post-filter mask vector such that entries of the post-filter mask vector corresponding with entries in the pre-filter mask vector that are said high values are the indicator value and the remaining entries of the post-filter mask vector are prior values from a previous processing cycle scaled with an attenuating factor for decaying the prior value; and

forming discrete filtered frequency domain signals by applying the post-filter mask vector to the frequency domain signals such that the audio signals associated with the indicator value are emphasised and the remaining audio signals are de-emphasised.

2. The method as claimed in claim 1, which includes the step of combining the filtered frequency domain signals from each processing cycle into respective single output signals that are discrete in the frequency domain.

3. The method as claimed in claim 2, which includes the step of transforming the respective single output signals into respective time domain signals.

4. The method as claimed in claim 1, which includes the step of validating the discrete frequency domain signals as signals from a valid sound source by comparing the indicator value with a threshold value for each discrete frequency domain signal during each processing cycle.

5. The method as claimed in claim 4, which includes the step of labelling validated discrete frequency domain signals and storing the validated discrete frequency domain signals together with a label during each processing cycle.

6. The method as claimed in claim 5, which includes the step of linking the validated discrete frequency domain signals of each label and segmenting the validated discrete frequency domain the signals into sound source segments.

7. The method as claimed in claim 6, which includes the step of associating the sound source segments with speech utterances and associating each label with a speaker identity.

8. The method as claimed in claim 7, which includes the step of applying a filtering stage to the indicator values to smooth the indicator values over time.

9. The method as claimed in claim 8, in which the step of applying the filtering stage includes the steps of associating a state with each of a number of the discrete frequency domain signals, and transitioning the state of a given discrete frequency domain signal when the indicator value is higher than the threshold value for the given discrete frequency domain signal or demoting the state of the given discrete frequency domain signal when the indicator value is lower than the threshold value for the given discrete frequency domain signal.

10. The method as claimed in claim 1, which includes the step of calculating the indicator value for each discrete frequency domain signal by using a selected distribution function as a function of the average value of said entries of the pre-filter mask vector for that discrete frequency domain signal.

11. The method as claimed in claim 10, in which the selected distribution function is a sigmoid function.

12. The method as claimed in claim 1, in which the defined high value is one and the defined low value is zero.

13. The method as claimed in claim 1, in which the steps of defining the pre-filter mask vector, populating the pre-filter mask vector and calculating the indicator value are with reference to a subset of the defined frequency bins, the frequency bins of the subset being those for a range of predetermined frequencies.

14. The method as claimed in claim 1, in which the audio signals are beamformer signals, the method including the step of carrying out a beamforming calculation on microphone transducer output signals to generate the audio signals.

15. The method as claimed in claim 14, in which the microphone transducer output signals are received from an array of microphone transducers that are spatially arranged relative to each other within a reception space, the method including the step of conceptually dividing the reception space into spatial reception sectors so that beamformer signals can be associated with each reception sector.

16. A sound acquisition system for sound acquisition from multiple sound sources, the system including:

microphones for generating output signals;

a microphone interface that is configured to sample the output signals in a series of processing cycles to form discrete time domain signals and, in each processing cycle, to transform the time domain signals into discrete frequency domain signals, each having a set of defined frequency bins;

a post-filter module that is configured to;

define a pre-filter mask vector for each discrete frequency domain signal for population with entries corresponding with respective frequency bins;

populate the pre-filter mask vector such that each entry has a defined high value if a value of the corresponding frequency bin is a highest value amongst associated frequency bins of the respective discrete frequency domain signals, otherwise each entry having a defined low value;

calculate an indicator value for each discrete frequency domain signal using the entries populating the pre-filter mask vector;

define a post-filter mask vector for each discrete frequency domain signal with entries corresponding to the entires of the pre-filter mask vector;

populate the post-filter mask vector such that entries of the post-filter mask vector corresponding with entries in the pre-filter mask vector that are said high values are the indicator value and the remaining entries of the post-filter mask vector are prior values from a previous processing cycle scaled with an attenuating factor for decaying the prior value; and

form discrete filtered frequency domain signals by applying the post-filter mask vector to the frequency domain signals such that the output signals associated with the indicator value are emphasised and the remaining output signals are de-emphasised.