Patents by Inventor SYU-SIANG WANG

SYU-SIANG WANG has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11741984
    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.
    Type: Grant
    Filed: June 1, 2021
    Date of Patent: August 29, 2023
    Assignee: ACADEMIA SINICA
    Inventors: Tsao Yu, Syu-Siang Wang, Szu-Wei Fu, Alexander Chao-Fu Kang, Hsin-Min Wang
  • Publication number: 20210390971
    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.
    Type: Application
    Filed: June 1, 2021
    Publication date: December 16, 2021
    Inventors: TSAO YU, SYU-SIANG WANG, SZU-WEI FU, ALEXANDER CHAO-FU KANG, HSIN-MIN WANG
  • Patent number: 10978091
    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.
    Type: Grant
    Filed: November 30, 2018
    Date of Patent: April 13, 2021
    Assignee: ACADEMIA SINICA
    Inventors: Yu Tsao, Syu-Siang Wang
  • Publication number: 20190287551
    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.
    Type: Application
    Filed: November 30, 2018
    Publication date: September 19, 2019
    Inventors: Yu TSAO, SYU-SIANG WANG