Audio session classification
AssigneeHewlett-Packard Development Company, L.P.
InventorsSunil Ganpat Bharitkar, Andre da Fonte Lopes da Silva, Walter Flores Pereira
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Abstract
Examples of methods for audio session classification are described herein. In some examples, a method may include determining, at a first classification stage, whether an audio session is classifiable with predetermined criteria. In some examples, the method may include classifying, at a second classification stage, the audio session based on a machine learning analysis of metadata in a case that the audio session is not classifiable at the first classification stage.
Claims15
A method, comprising:
- determining, at a first classification stage, whether an audio session is classifiable with predetermined criteria;
- and
- classifying, at a second classification stage, the audio session based on a machine learning analysis of metadata in a case that the audio session is not classifiable at the first classification stage.
An apparatus, comprising:
- a memory;
- and
- a processor coupled to the memory, wherein the processor is to:
- detect activation of an audio session;
- extract metadata corresponding to the audio session;
- and
- provide the metadata to a machine learning model to classify the audio session in response to determining that the audio session is not classifiable with predetermined criteria.
A non-transitory tangible computer-readable medium storing executable code, comprising:
- code to cause a processor to classify an audio session in accordance with a hierarchy, wherein the hierarchy comprises a first classification stage to classify in accordance with predetermined criteria, and a second classification stage to classify using a machine learning model based on metadata corresponding to the audio session.
Dependencies are inferred from the claim text.