Automatic microphone detection

• US 7,039,193 B2
• Filed: 04/30/2001
• Issued: 05/02/2006
• Est. Priority Date: 10/13/2000
• Status: Expired due to Term

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: America Online Inc. (Warner Bros. Discovery, Inc.)
• Inventors: Mantegna, John, Wu, Shuwu
• Primary Examiner(s): Meky, Moustafa M.
• Application Number:
  US09/844,656
• Publication Number:
  US 20020044665A1
• Time in Patent Office: 1,828 Days
• Field of Search: 330/279, 330/303, 379/90.01, 379/93.05, 379/420.01, 379/1.01, 379/27.08, 709/230, 709/318, 709/203, 709204-206, 709/224, 709/223, 709/221, 709/229, 375/350, 375/226, 381 56- 59, 700/94, 704/200, 704/500, 704/231, 704/233, 704/237, 704/246
• US Class Current: 381/58
• CPC Class Codes: H04L 65/1101 Session protocols
• CPC Class Codes: H04L 65/80 Responding to QoS
• CPC Class Codes: H04M 3/2236 Quality of speech transmission monitoring
• CPC Class Codes: H04M 3/305 testing of physical copper line parameters, e.g. capacitance or resistance locating faults in cables G01R31/08
• CPC Class Codes: H04M 3/567 Multimedia conference systems
• CPC Class Codes: H04M 7/1235 where one of the core networks is a wireless network

Abstract

Whether a microphone is connected to a real-time audio communication system of a computer may be detected by recording an audio sample through the real-time audio communication system, filtering a DC component is filtered out of the audio data, recognizing a pattern in the auto-correlation coefficients of the filtered audio sample, and determining whether a microphone is properly connected to the real-time audio communication system based on the values of the auto-correlation function coefficients and the predetermined values.

Claims

1. A method for detecting whether or not a microphone is connected to a real-time audio communication system of a computer comprising:

recording an audio sample through the real-time audio communication system;

filtering a DC component out of the audio sample;

determining values of auto-correlation coefficients of the filtered audio sample;

comparing the values of the auto-correlation coefficients of the filtered audio sample with predetermined values;

determining whether a microphone is properly connected to the real-time audio communication system based on the comparison of the values of the auto-correlation function coefficients with the predetermined values; and

determining whether the microphone is not properly connected to the real-time audio communication system based on the comparison of the values of the auto-correlation function coefficients with the predetermined values.

2. A computer program, residing on a computer-readable medium, for detecting whether or not a microphone is connected to an audio communication system of a computer, comprising instructions for causing the computer to:

record an audio sample through the real-time audio communication system;

filter a DC component out of the audio sample;

determine values of auto-correlation coefficients of the filtered audio sample;

compare the values of the auto-correlation coefficients of the filtered audio sample with predetermined values;

compare the values of the auto-correlation coefficients of the filtered audio sample with predetermined values;

determine whether a microphone is properly connected to the real-time audio communication system based on the comparison of the values of the auto-correlation function coefficients with the predetermined values; and

determine whether the microphone is not properly connected to the real-time audio communication system based on the comparison of the values of the auto-correlation function coefficients with the predetermined values.

3. A computer system running programmed processes comprising a process for detecting whether or not a microphone is connected to an audio communication system of a computer, which process causes the computer system to:

record an audio sample through the real-time audio communication system;

filter a DC component out of the audio sample;

determine values of auto-correlation coefficients of the filtered audio sample;

compare the values of the auto-correlation coefficients of the filtered audio sample with predetermined values;

determine whether a microphone is properly connected to the real-time audio communication system based the comparison of on the values of the auto-correlation function coefficients with the predetermined values; and

determine whether the microphone is not properly connected to the real-time audio communication system based on the comparison of the values of the auto-correlation function coefficients with the predetermined values.