Method for siren detection based on audio samples
First Claim
1. An apparatus comprising:
- an audio unit configured to receive an audio signal;
a control unit configured to operate the apparatus; and
a processing unit configured to;
process the audio signal from the audio unit to create a plurality of windowed audio samples including at least a first windowed audio sample and a second windowed audio sample, wherein the first windowed audio sample and the second windowed audio sample each have a different length of time;
determine a likelihood that the first windowed audio sample comprises a siren signal based on a detection of a group of features in the first windowed audio signal associated with a siren-classification profile, wherein the group of features comprises mel-frequency cepstrum coefficients (MFCCs) associated with a reference siren signal;
based on the first windowed audio sample indicating a likelihood of a siren signal below a threshold, determine a likelihood that the second windowed audio sample includes a siren signal based a detection of a group of features of the second windowed audio signal with the siren-classification profile, wherein the group of features comprises the mel-frequency cepstrum coefficients (MFCCs) associated with the reference siren signal; and
alter control of the apparatus by the control system based on the likelihood of at least one of the first windowed audio sample and the second windowed audio sample including a siren signal being above the threshold.
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Accused Products
Abstract
The present disclosure provides methods and apparatuses that enable an apparatus to identify sounds from short samples of audio. The apparatus may capture an audio sample and create several audio signals of different lengths, each containing audio from the captured audio sample. The apparatus my process the several audio signals in an attempt to identify features of the audio signal that indicate an identification of the captured sound. Because shorter audio samples can be analyzed more quickly, the system may first process the shortest audio samples in order to quickly identify features of the audio signal. Because longer audio samples contain more information, the system may be able to more accurately identify features in the audio signal in longer audio samples. However, analyzing longer audio signals takes more buffered audio than identifying features in shorter signals. Therefore, the present system attempts to identify features in the shortest audio signals first.
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Citations
20 Claims
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1. An apparatus comprising:
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an audio unit configured to receive an audio signal; a control unit configured to operate the apparatus; and a processing unit configured to; process the audio signal from the audio unit to create a plurality of windowed audio samples including at least a first windowed audio sample and a second windowed audio sample, wherein the first windowed audio sample and the second windowed audio sample each have a different length of time; determine a likelihood that the first windowed audio sample comprises a siren signal based on a detection of a group of features in the first windowed audio signal associated with a siren-classification profile, wherein the group of features comprises mel-frequency cepstrum coefficients (MFCCs) associated with a reference siren signal; based on the first windowed audio sample indicating a likelihood of a siren signal below a threshold, determine a likelihood that the second windowed audio sample includes a siren signal based a detection of a group of features of the second windowed audio signal with the siren-classification profile, wherein the group of features comprises the mel-frequency cepstrum coefficients (MFCCs) associated with the reference siren signal; and alter control of the apparatus by the control system based on the likelihood of at least one of the first windowed audio sample and the second windowed audio sample including a siren signal being above the threshold. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method comprising:
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receiving an audio signal with an audio unit; processing, with a processor, the audio signal from the audio unit to create a plurality of windowed audio samples including at least a first windowed audio sample and a second windowed audio sample, wherein the first windowed audio sample and the second windowed audio sample each have a different length of time; determining a likelihood that the first windowed audio sample comprises a siren signal based on the detection of a group of features of the first windowed audio signal, wherein the group of features comprises the mel-frequency cepstrum coefficients (MFCCs) associated with a reference siren signal; based on the first windowed audio sample indicating a likelihood of the first windowed audio sample including a siren signal below a threshold, determining a likelihood that the second windowed audio sample comprises a siren signal based on the detection of a group of features of the second windowed audio signal, wherein the group of features comprises the mel-frequency cepstrum coefficients (MFCCs) associated with the reference siren signal; and providing instructions to control an apparatus based on the likelihood of at least one of the first windowed audio sample and the second windowed audio sample including a siren signal being above the threshold. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. An article of manufacture including a non-transitory computer-readable medium having stored thereon instructions that, when executed by a processor in a vehicle system, cause the vehicle system to perform operations comprising:
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receiving an audio signal; processing the audio signal to create a plurality of windowed audio samples including at least a first windowed audio sample and a second windowed audio sample, wherein the first windowed audio sample and the second windowed audio sample each have a different length of time; determining a likelihood that the first windowed audio sample comprises a siren signal based on the detection of a group of features of the first windowed audio signal, wherein the group of features comprises the mel-frequency cepstrum coefficients (MFCCs) associated with a reference siren signal; based on the first windowed audio sample indicating a low likelihood of the first windowed audio sample including a siren signal, determining a likelihood that the second windowed audio sample comprises a siren signal based on the detection of a group of features of the second windowed audio signal, wherein the group of features comprises the mel-frequency cepstrum coefficients (MFCCs) associated with a reference siren signal; and providing instructions to control an apparatus based on the likelihood of at least one of the first windowed audio sample and the second windowed audio sample including a siren signal being above the threshold. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification