公开(公告)号：US20240038278A1

公开(公告)日：2024-02-01

申请号：US18266401

申请日：2021-10-20

Applicant: Goertek Inc.

Inventor： LIBING ZOU ,  Yifan Zhang ,  Xueqiang Wang ,  Fuqiang Zhang

IPC: G11B27/34 ,  G11B27/031 ,  G06T7/33

CPC classification number: G11B27/34 ,  G11B27/031 ,  G06T7/337 ,  G06T2207/20084 ,  G06T2207/20221 ,  G06T2207/20081 ,  G06T2207/20056

Abstract: A method and device for timing alignment of audio signals. The method includes: generating frequency domain images respectively for an audio signal to be aligned and a template audio signal (S110); inputting the frequency domain images into a twin neural network of a timing offset prediction model respectively, to obtain two frequency domain features output by the twin neural network (S120); fusing the two frequency domain features to obtain a fused feature (S130); inputting the fused features into a prediction network of the timing offset prediction model to obtain a timing offset output by the prediction network (S140); and performing timing alignment processing on the audio signal to be aligned according to the timing offset (S150). The technical solution is more robust, and especially in a noisy environment, features extracted by a deep neural network are more intrinsic and more stable. An end-to-end timing offset prediction model is more accurate and faster.

公开(公告)号：US20230408278A1

公开(公告)日：2023-12-21

申请号：US18037914

申请日：2021-09-28

Applicant: Goertek Inc.

Inventor： LIBING ZOU ,  Yifan Zhang ,  Yue Ning ,  Fuqiang Zhang

IPC: G01C21/34 ,  G06N3/084

CPC classification number: G01C21/3492 ,  G06N3/084 ,  B60W2554/406 ,  B60W2554/4042

Abstract: The subject matter provides a path planning method, apparatus and electronic device. Wherein, the method comprises: performing environment modeling according to static road network information and dynamic road condition information of a road network so as to obtain an environment model; determining a plurality of candidate paths according to a starting point and an ending point; extracting from the environment model an environmental feature corresponding to each candidate path by a feature extraction network of a path planning model; inputting the environmental feature to a value estimation network of the path planning model so as to obtain an estimated value for each candidate path output by the value estimation network; determining an optimal path among the candidate paths according to the estimated value.