Machine learning (ML) algorithm for sound classification and cancellation
AssigneeQUALCOMM Incorporated
InventorsSri Vatsava Ganesh Kumar Vempati, Hitesh Venkata Rachakonda, Vasavi Kandikattu, Sridhar Rao Nune
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Abstract
This disclosure provides systems, methods, and devices for audio signal processing that support noise cancellation. In a first aspect, a method of signal processing includes determining a location of the apparatus; receiving an audio signal including sounds at the location of the apparatus; determining, based on a machine learning (ML) model, to reduce a presence of the one or more sounds in the audio signal based on the location; and determining an output audio signal by reducing the presence of the one or more sounds in the audio signal. Other aspects and features are also claimed and described.
Claims20
An apparatus, comprising:
- a memory configured to store an audio signal;
- and
- one or more processors coupled to the memory, the one or more processors configured to:
- determine a location of the apparatus;
- receive the audio signal including sounds at the location of the apparatus;
- determine, based on a machine learning (ML) model, to reduce a presence of one or more sounds in the audio signal based on the location;
- and
- determine an output audio signal by reducing the presence of the one or more sounds in the audio signal.
A method, comprising:
- determining a location of a multimedia device;
- receiving an audio signal including sounds at the location of the multimedia device;
- determining, based on a machine learning (ML) model, to reduce a presence of one or more sounds in the audio signal based on the location;
- and
- determining an output audio signal by reducing the presence of the one or more sounds in the audio signal.
A multimedia device, comprising:
- a first microphone and a second microphone;
- a global navigation satellite system (GNSS) receiver;
- a memory configured to store an audio signal;
- and
- one or more processors coupled to the memory, to the first microphone, to the second microphone, and to the GNSS receiver,
- the one or more processors configured to:
- determine a location of the multimedia device based on the GNSS receiver;
- receive the audio signal from the first microphone, the audio signal including sounds at the location;
- determine, based on a machine learning (ML) model, to reduce a presence of one or more sounds in the audio signal based on the location;
- and
- determine an output audio signal by reducing the presence of the one or more sounds in the audio signal.
Dependencies are inferred from the claim text.