公开(公告)号：US20240062902A1

公开(公告)日：2024-02-22

申请号：US18364078

申请日：2023-08-02

申请人： SONY GROUP CORPORATION

发明人： SACHIN KUMAR AGRAWAL ,  AYUSH KUMAR GHADIYA

IPC分类号： G16H50/20 ,  G10L25/66 ,  G10L25/93

CPC分类号： G16H50/20 ,  G10L25/66 ,  G10L25/93

摘要： An electronic device and method for chronic pulmonary disease prediction from audio input based on short-winded breath determination using artificial intelligence is disclosed. The electronic device receives an audio input associated with a user. The electronic device applies an Artificial Intelligence (AI) model to detect a short-winded breath duration that corresponds to a time duration between an end of a first spoken word and a start of a second spoken word succeeding the first spoken word. The electronic device detects a speaking pattern. The electronic device applies a Recurrent neural network (RNN) model to reconstruct a set of short-winded breath audio samples. The electronic device generates an audio sample dataset and a set of audio features. The electronic device applies a modular neural network model on the generated audio sample dataset and on the generated set of audio features to determine a set of chronic obstructive pulmonary disease (COPD) metrics.