公开(公告)号：US20250103329A1

公开(公告)日：2025-03-27

申请号：US18971183

申请日：2024-12-06

Applicant: Intel Corporation

Inventor： Sarang Akotkar ,  Guneshwor Singh

IPC: G06F9/30

Abstract: Systems, apparatuses and methods may provide for technology that conducts a first split of a first floating point (FP) number into a first part and a second part, conducts a second split of a second FP number into a third part and a fourth part, conducts a first reduction sum operation between the first part and the third part to obtain a first intermediate result, and conducts a second reduction sum operation between the second part and the fourth part to obtain a second intermediate result.

公开(公告)号：US10747231B2

公开(公告)日：2020-08-18

申请号：US15816835

申请日：2017-11-17

Applicant: Intel Corporation

Inventor： Sarang Akotkar ,  Mithil Ramteke ,  Tobias Bocklet ,  Sivasubramanian Sundaram

IPC: G05D1/02 ,  G10L25/30 ,  G10L25/51 ,  G10L21/038 ,  G05D1/00 ,  H04R3/00 ,  G06N3/08 ,  H04R1/40 ,  G10L25/24 ,  G06N3/04

Abstract: Embodiments include apparatuses, systems, and methods for a computer-aided or autonomous driving (CA/AD) system to identify and respond to an audio signal, e.g., an emergency alarm signal. In embodiments, the CA/AD driving system may include a plurality of microphones disposed to capture the audio signal included in surrounding sounds to a semi-autonomous or autonomous (SA/AD) vehicle. In embodiments, an audio analysis unit may receive the audio signal to extract audio features from the audio signal. In embodiments, a neural network such as a Deep Neural Network (DNN) may receive the extracted audio features from the audio analysis unit and to generate a probability score to allow identification of the audio signal. In embodiments, the CA/AD driving system may control driving elements of the SA/AD vehicle to autonomously or semi-autonomously drive the SA/AD vehicle in response to the identification. Other embodiments may also be described and claimed.

公开(公告)号：US20190049989A1

公开(公告)日：2019-02-14

申请号：US15816835

申请日：2017-11-17

Applicant: Intel Corporation

Inventor： Sarang Akotkar ,  Mithil Ramteke ,  Tobias Bocklet ,  Sivasubramanian Sundaram

IPC: G05D1/02 ,  G10L25/30 ,  G10L25/51 ,  H04R1/40 ,  H04R3/00 ,  G10L25/24 ,  G10L21/038 ,  G05D1/00

CPC classification number: G05D1/0255 ,  G05D1/0088 ,  G05D1/0246 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/084 ,  G10L21/038 ,  G10L25/24 ,  G10L25/30 ,  G10L25/51 ,  H04R1/406 ,  H04R3/005 ,  H04R2420/01 ,  H04R2499/13

Abstract: Embodiments include apparatuses, systems, and methods for a computer-aided or autonomous driving (CA/AD) system to identify and respond to an audio signal, e.g., an emergency alarm signal. In embodiments, the CA/AD driving system may include a plurality of microphones disposed to capture the audio signal included in surrounding sounds to a semi-autonomous or autonomous (SA/AD) vehicle. In embodiments, an audio analysis unit may receive the audio signal to extract audio features from the audio signal. In embodiments, a neural network such as a Deep Neural Network (DNN) may receive the extracted audio features from the audio analysis unit and to generate a probability score to allow identification of the audio signal. In embodiments, the CA/AD driving system may control driving elements of the SA/AD vehicle to autonomously or semi-autonomously drive the SA/AD vehicle in response to the identification. Other embodiments may also be described and claimed.