公开(公告)号：US20210266407A1

公开(公告)日：2021-08-26

申请号：US16903082

申请日：2020-06-16

Applicant: SAP SE

Inventor： Anh Burton ,  Hans-Martin Will ,  James Tian ,  Andreas Kurt Pursche ,  Jeff Dixon ,  Matthew Berg ,  Thomas Obermeyer

IPC: H04M3/523 ,  G10L15/26 ,  G06N20/00 ,  G06Q30/00

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives a set of audio files. Each audio file in the set of audio files includes audio from an audio call. The program further truncates each audio file in the set of audio files to a defined call length. For each audio call in the set of audio calls, the program also receives a transcript of the audio call based on the audio file of the audio call. For each audio call in the set of audio calls, the program further uses the transcript of the audio call as input to a machine learning model for the machine learning model to predict a category from a plurality of categories that is associated with the audio call.

公开(公告)号：US12192409B2

公开(公告)日：2025-01-07

申请号：US16903082

申请日：2020-06-16

Applicant: SAP SE

Inventor： Anh Burton ,  Hans-Martin Will ,  James Tian ,  Andreas Kurt Pursche ,  Jeff Dixon ,  Matthew Berg ,  Thomas Obermeyer

IPC: H04M3/00 ,  G06N20/00 ,  G06Q30/016 ,  G10L15/26 ,  H04M3/523

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives a set of audio files. Each audio file in the set of audio files includes audio from an audio call. The program further truncates each audio file in the set of audio files to a defined call length. For each audio call in the set of audio calls, the program also receives a transcript of the audio call based on the audio file of the audio call. For each audio call in the set of audio calls, the program further uses the transcript of the audio call as input to a machine learning model for the machine learning model to predict a category from a plurality of categories that is associated with the audio call.