View source for Amazon technologies, inc. (20250111857). UNIFIED AUDIO SUPPRESSION MODEL

=UNIFIED AUDIO SUPPRESSION MODEL=


==Organization Name==

[[:Category:amazon technologies, inc.|amazon technologies, inc.]]


[[Category:amazon technologies, inc.]]

==Inventor(s)==

[[:Category:Ritwik Giri of Redwood City CA US|Ritwik Giri of Redwood City CA US]][[Category:Ritwik Giri of Redwood City CA US]]

[[:Category:Zhepei Wang of Santa Clara CA US|Zhepei Wang of Santa Clara CA US]][[Category:Zhepei Wang of Santa Clara CA US]]

[[:Category:Devansh Shah of Sunnyvale CA US|Devansh Shah of Sunnyvale CA US]][[Category:Devansh Shah of Sunnyvale CA US]]

[[:Category:Jean-Marc Valin of Montreal CA|Jean-Marc Valin of Montreal CA]][[Category:Jean-Marc Valin of Montreal CA]]

[[:Category:Michael Mark Goodwin of Scotts Valley CA US|Michael Mark Goodwin of Scotts Valley CA US]][[Category:Michael Mark Goodwin of Scotts Valley CA US]]

==UNIFIED AUDIO SUPPRESSION MODEL==


This abstract first appeared for US patent application 20250111857 titled 'UNIFIED AUDIO SUPPRESSION MODEL

==Original Abstract Submitted==

examples herein provide an approach to enhance an audio mixture of a teleconference application by switching between noise suppression modes using a single model. specifically, a machine learning (ml) model may be configured to, in response to receiving an audio mixture representation as input, suppress either a background noise of the audio mixture or suppress all noise of the audio mixture except a user's voice. in some examples, the ml model may be trained on speech and background noise training data during a training phase. in addition, the ml model may be trained on a user's voice during an enrollment phase. in addition, during an inference phase, the ml model may enhance the audio mixture by suppressing a portion of the audio mixture.



[[Category:G10L21/0208]]
[[Category:G10L25/30]]
[[Category:H04M3/56]]
[[Category:CPC_G10L21/0208]]