SELF-FAULT DETECTION SYSTEM AND METHOD FOR MICROPHONE ARRAY AND AUDIO-BASED DEVICE

• US 20120045068A1
• Filed: 08/20/2010
• Published: 02/23/2012
• Est. Priority Date: 08/20/2010
• Status: Abandoned Application

• Current Assignee: Korea Advanced Institute of Science and Technology
• Original Assignee: Korea Advanced Institute of Science and Technology
• Inventors: Kim, Jinsung, You, Bum-Jae
• Application Number:
  US12/860,510
• Publication Number:
  US 20120045068A1
• Time in Patent Office: Days
• US Class Current: 381/58
• CPC Class Codes: H04R 29/005 Microphone arrays

Abstract

Disclosed herein is a self-fault detection system and method in a microphone array system, in which features for self-fault detection of a microphone array are formed using internal values of a voice activity detector (VAD) with respect to audio signals respectively outputted from a plurality of microphones, the features generated with respect to each of the microphones are mutually and automatically compared without a special reference signal, thereby self-detecting fault microphones.

Claims

1. An audio-based device comprising:

an audio signal input unit having a plurality of microphones through which audio signals are respectively inputted;

a self-fault detector that analyzes the audio signals respectively inputted to the plurality of microphones and diagnoses, as faults, microphones to which corresponding audio signals with abnormal features are respectively inputted; and

a control unit that controls the audio signals respectively inputted from the microphones diagnosed as the faults to be processed based on a reference for defect tolerance of a system with respect to the microphones diagnosed as faults by the self-fault detector.

2. The audio-based device according to claim 1, wherein the control unit determines one of a partial operation after stopping the operation of the fault microphones, a normal operation after replacing the fault microphones, and a declaration of stopping the entire operation based on the reference for defect tolerance of the system with respect to the microphones diagnosed as faults by the self-fault detector.

3. The audio-based device according to claim 1, further comprising a voice processing unit that normally performs, partially performs or stops operations of sound source localization, blind source separation and automatic speech recognition based on the result determined by the control unit with respect to the state of the fault microphones.

4. A self-fault detection system in a microphone array system, the system comprising:

an audio signal input unit having a plurality of microphones through which audio signals are respectively inputted;

a feature generation unit that generates features for fault detection by extracting internal result values of a voice activity detector (VAD) that determines the presence of voice for each frame of the audio signals respectively inputted to the plurality of microphones; and

a feature classification unit that extracts abnormal features by analyzing and grouping the plurality of features formed with respect to each of the microphones and diagnoses, as faults, microphones to which corresponding audio signals with the abnormal features are respectively inputted.

5. The system according to claim 4, wherein the features for fault detection are generated by converting and normalizing the internal result values of the VAD in the feature generation unit.

6. The system according to claim 4, further comprising a frequency domain conversion unit that converts the audio signals in a time domain, respectively inputted to the plurality of microphones, into ones in a frequency domain.

7. A self-fault detection method in a microphone array system, the method comprising:

respectively inputting audio signals to a plurality of microphones;

extracting internal result values of a VAD that determines the presence of voice for each frame of the audio signals respectively inputted to the plurality of microphones, thereby generating features for fault detection; and

extracting abnormal features by analyzing and grouping the plurality of features formed with respect to each of the microphones, and diagnosing, as faults, microphones to which corresponding audio signals with the abnormal features are respectively inputted.

8. The method according to claim 7, wherein the features for fault detection are generated by converting and normalizing the internal result values of the VAD in the feature generation unit.

9. The method according to claim 7, further comprising converting the audio signals in a time domain, respectively inputted to the plurality of microphones, into ones in a frequency domain.