公开(公告)号：US20210390971A1

公开(公告)日：2021-12-16

申请号：US17335487

申请日：2021-06-01

Applicant: ACADEMIA SINICA

Inventor： TSAO YU ,  SYU-SIANG WANG ,  SZU-WEI FU ,  ALEXANDER CHAO-FU KANG ,  HSIN-MIN WANG

IPC: G10L21/0272 ,  G10L25/48 ,  G10L15/20

Abstract: An acoustic scene conversion method, comprising: receiving sound signals including user's speech and scenic sounds; processing the sound signals according to an artificial intelligence model to generate enhanced speech signals without scenic sounds; and mixing the enhanced speech signals with new scenic sounds to produce converted sound signals.

公开(公告)号：US20190287551A1

公开(公告)日：2019-09-19

申请号：US16205328

申请日：2018-11-30

Applicant: ACADEMIA SINICA

Inventor： Yu TSAO ,  SYU-SIANG WANG

IPC: G10L25/06 ,  G10L15/22 ,  G10L15/30

Abstract: A system is provided to realize suppression by selecting wavelets for feature compression in distributed speech recognition. The system comprises a first device and a second device. The first device comprising: a first network module for connecting to a network; an acoustic transducer module for recording speech and outputting frames of recorded signal; and a first processor configured for the following: extracting multiple-dimensional speech features from the frames of the recorded signal to generate multiple feature sequences; applying discrete wavelet transform (DWT) to the feature sequences to obtain a plurality of component data; and transmitting at least one of the plurality of component data via the network, wherein another one of the plurality of component data is not transmitted. The second device comprising: a second network module for connecting to the network and receiving the at least one of the plurality of component data from the first device; and a second processor configured for the following: updating the received data to generate an updated data; and applying inverse discrete wavelet transform (IDWT) to the updated data to obtain reconstructed speech data.