公开(公告)号：US20250095638A1

公开(公告)日：2025-03-20

申请号：US18891686

申请日：2024-09-20

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jaejin CHO ,  Rakshith Sharma Srinivasa ,  Chou-chang Yang ,  Yashas Malur Saidutta ,  Ching-Hua Lee ,  Yilin Shen ,  Hongxia Jin

IPC: G10L15/06 ,  G10L15/18 ,  G10L15/183

Abstract: A method includes: receiving one or more training text sentences; generating one or more training vectors based on inputting the one or more training sentences input into a text encoder, the one or more training vectors corresponding to one or more operations that an electronic device is configured to perform; generating one or more speech vectors based on one or more speech utterances input into a speech encoder; generating a similarity matrix that compares each of the one or more training vectors with each of the one or more speech vectors; and updating at least one of the text encoder and the speech encoder based on the similarity matrix.

公开(公告)号：US20250095666A1

公开(公告)日：2025-03-20

申请号：US18884978

申请日：2024-09-13

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Ching-Hua LEE ,  Chouchang YANG ,  Rakshith Sharma SRINIVASA ,  Yashas Malur SAIDUTTA ,  Jaejin CHO ,  Yilin SHEN ,  Hongxia JIN

IPC: G10L21/0208 ,  G10L15/06 ,  G10L21/0216

Abstract: A method for generating a customized speech enhancement model includes obtaining noisy-clean speech data from a source domain, obtaining noisy speech data from a target domain; obtaining raw speech data, using the noisy-clean speech data, the noisy speech data, and the raw speech data, training the customized SE model based on at least one of self-supervised representation-based adaptation (SSRA), ensemble mapping, or self-supervised adaptation loss, generating the customized SE model by denoising the noisy speech data using the trained customized SE model, and providing the customized SE model to a user device to use the denoised noisy speech data.