Single-microphone wind detection for audio device
A method for detecting wind noise incident on a single microphone may include receiving an audio signal indicative of sound incident on the single microphone, dividing the audio signal into a plurality of audio frames, and determining whether wind noise is incident on the single microphone based on a combination of a correlation metric between successive audio frames of the plurality of audio frames and a power ratio difference between a first power ratio and a second power ratio. The first power ratio may equal an amount of power present in a first frequency range of the audio signal to a total amount of power present in the audio signal across all frequencies. The second power ratio may equal an amount of power present in a second frequency range of the audio signal to the total amount of power present in the audio signal across all frequencies.
1. A method for detecting wind noise incident on a single microphone, comprising:
receiving an audio signal indicative of sound incident on the single microphone;
dividing the audio signal into a plurality of audio frames; and
determining whether wind noise is incident on the single microphone based on a combination of:
a correlation metric between successive audio frames of the plurality of audio frames; and
a power ratio difference between a first power ratio and a second power ratio, wherein:
the first power ratio equals an amount of power present in a first frequency range of the audio signal to a total amount of power present in the audio signal across all frequencies; and
the second power ratio equals an amount of power present in a second frequency range of the audio signal to the total amount of power present in the audio signal across all frequencies.
2. The method of claim 1 , further comprising determining whether wind noise is incident on the single microphone further based on a zero crossing metric indicative of a number of zero crossings of the audio signal within a predetermined time period.
3. The method of claim 2 , wherein the zero crossing metric is indicative of a number of zero crossings of a full frequency spectrum of the audio signal within the predetermined time period.
4. The method of claim 2 , wherein the zero crossing metric is indicative of a number of zero crossings of a portion of a full frequency spectrum of the audio signal within the predetermined time period.
5. The method of claim 1 , further comprising determining an intensity of the wind noise based on the total amount of power present in the audio signal across all frequencies, a difference between the first power ratio and the second power ratio, and an amount of power present in a particular frequency range of the audio signal.
6. The method of claim 1 , further comprising modifying audio information in response to determination that wind noise is incident on the single microphone.
7. A system for detecting wind noise incident on a single microphone, comprising:
an input configured to receive an audio signal indicative of sound incident on the single microphone; and
a processor communicatively coupled to the input and configured to:
divide the audio signal into a plurality of audio frames; and
determine whether wind noise is incident on the single microphone based on a combination of:
a correlation metric between successive audio frames of the plurality of audio frames; and
a power ratio difference between a first power ratio and a second power ratio, wherein:
the first power ratio equals an amount of power present in a first frequency range of the audio signal to a total amount of power present in the audio signal across all frequencies; and
the second power ratio equals an amount of power present in a second frequency range of the audio signal to the total amount of power present in the audio signal across all frequencies.
8. The system of claim 7 , the processor further configured to determine whether wind noise is incident on the single microphone further based on a zero crossing metric indicative of a number of zero crossings of the audio signal within a predetermined time period.
9. The system of claim 8 , wherein the zero crossing metric is indicative of a number of zero crossings of a full frequency spectrum of the audio signal within the predetermined time period.
10. The system of claim 8 , wherein the zero crossing metric is indicative of a number of zero crossings of a portion of a full frequency spectrum of the audio signal within the predetermined time period.
11. The system of claim 7 , the processor further configured to determine an intensity of the wind noise based on the total amount of power present in the audio signal across all frequencies, a difference between the first power ratio and the second power ratio, and an amount of power present in a particular frequency range of the audio signal.
12. The system of claim 7 , the processor further configured to modify audio information in response to determination that wind noise is incident on the single microphone.
13. An audio device, comprising:
a microphone configured to obtain an audio signal indicative of sound incident on the microphone; and
a processor communicatively coupled to the processor and configured to, based solely on the audio signal derived from the microphone and no other signals from any other microphones:
divide the audio signal into a plurality of audio frames; and
determine whether wind noise is incident on the microphone based on a combination of:
a correlation metric between successive audio frames of the plurality of audio frames; and
a power ratio difference between a first power ratio and a second power ratio, wherein:
the first power ratio equals an amount of power present in a first frequency range of the audio signal to a total amount of power present in the audio signal across all frequencies; and
the second power ratio equals an amount of power present in a second frequency range of the audio signal to the total amount of power present in the audio signal across all frequencies.
14. The audio device of claim 13 , the processor further configured to determine whether wind noise is incident on the single microphone further based on a zero crossing metric indicative of a number of zero crossings of the audio signal within a predetermined time period.
15. The audio device of claim 14 , wherein the zero crossing metric is indicative of a number of zero crossings of a full frequency spectrum of the audio signal within the predetermined time period.
16. The audio device of claim 14 , wherein the zero crossing metric is indicative of a number of zero crossings of a portion of a full frequency spectrum of the audio signal within the predetermined time period.
17. The audio device of claim 13 , the processor further configured to determine an intensity of the wind noise based on the total amount of power present in the audio signal across all frequencies, a difference between the first power ratio and the second power ratio, and an amount of power present in a particular frequency range of the audio signal.
18. The audio device of claim 13 , the processor further configured to modify audio information in response to determination that wind noise is incident on the single microphone.