Method and apparatus for neural network augmented kalman filter for acoustic howling suppression
AssigneeTencent America LLC
InventorsHao ZHANG, Meng Yu, Dong Yu
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Abstract
A method performed by at least one processor of an acoustic howling suppression (AHS) system includes receiving, from an input source device, an audio signal. The method includes refining one or more parameters of a Kalman filter based on one or more neural networks. The method includes filtering the audio signal using the Kalman filter with the one or more refined parameters of the Kalman filter to reduce acoustic howling included in the audio signal.
Claims20
A method performed by at least one processor of an acoustic howling suppression (AHS) system, the method comprising:
- receiving, from an input source device, an audio signal;
- refining one or more parameters of a Kalman filter based on one or more neural networks;
- and
- filtering the audio signal using the Kalman filter with the one or more refined parameters of the Kalman filter to reduce acoustic howling included in the audio signal.
An acoustic howling suppression (AHS) system, comprising:
- at least one memory configured to store program code;
- and
- at least one processor configured to read the program code and operate as instructed by the program code, the program code including:
- receiving code configured to cause the at least one processor to receive, from an input source device, an audio signal;
- refining code configured to cause the at least one processor to refine one or more parameters of a Kalman filter based on one or more neural networks;
- and
- filtering code configured to cause the at least one processor to filter the audio signal using the Kalman filter with the one or more refined parameters of the Kalman filter to reduce acoustic howling included in the audio signal.
A non-transitory computer readable medium having instructions stored therein, which when executed by a processor in an acoustic howling suppression (AHS) system cause the processor to execute a method comprising:
- receiving, from an input source device, an audio signal;
- refining one or more parameters of a Kalman filter based on one or more neural networks;
- and
- filtering the audio signal using the Kalman filter with the one or more refined parameters of the Kalman filter to reduce acoustic howling included in the audio signal.
Dependencies are inferred from the claim text.