Automatic microphone detection

• US 20020044665A1
• Filed: 04/30/2001
• Published: 04/18/2002
• Est. Priority Date: 10/13/2000
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: AOL LLC (Apollo Global Management, Inc.)
• Inventors: Mantegna, John, Wu, Shuwu
• Granted Patent: US 7,039,193 B2
• Time in Patent Office: Days
• 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 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 auto-correlation coefficients of the filtered audio sample;

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

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

2. A computer program, residing on a computer-readable medium, for detecting whether 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 auto-correlation coefficients of the filtered audio sample;

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

determine the likelihood of a microphone is properly connected to the real-time audio communication system based on the values of the auto-correlation function coefficients.

3. A computer system running programmed processes comprising a process for detecting whether 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 auto-correlation coefficients of the filtered audio sample;

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

determine the likelihood of a microphone is properly connected to the real-time audio communication system based on the values of the auto-correlation function coefficients.