Patents by Inventor Che-Chia PAI

Che-Chia PAI 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).

  • Device and method for clarifying dysarthria voices
    Patent number: 11514889
    Abstract: A device and a method for clarifying dysarthria voices is disclosed. Firstly, a dysarthria voice signal is received and framed to generate dysarthria frames. Then, the dysarthria frames are received to retrieve dysarthria features. Finally, the dysarthria features are received. Without receiving phases corresponding to the dysarthria features, the dysarthria features are converted into an intelligent voice signal based on an intelligent voice conversion model. The intelligent voice conversion model is not trained by the dynamic time warping (DTW). The present invention avoids the phase distortion of the voice signal and provides more natural and clarified voices with low noise.
    Type: Grant
    Filed: October 1, 2020
    Date of Patent: November 29, 2022
    Assignee: NATIONAL CHUNG CHENG UNIVERSITY
    Inventors: Tay-Jyi Lin, Che Chia Pai, Hsi Che Wang, Ching-Wei Yeh
  • System for improving dysarthria speech intelligibility and method thereof
    Patent number: 11328709
    Abstract: A system for improving dysarthria speech intelligibility and method thereof, are provided. In the system, user only needs to provides a set of paired corpus including a reference corpus and a patient corpus, and a speech disordering module can automatically generate a new corpus completely synchronous with the reference corpus, and the new corpus can be used as a training corpus for training a dysarthria voice conversion model. The present invention does not need to use a conventional corpus alignment technology or a manual manner to perform pre-processing on the training corpus, so that manpower cost and time cost can be reduced, and synchronization of the training corpus can be ensured, thereby improving both training and conversion qualities of the voice conversion model.
    Type: Grant
    Filed: August 20, 2019
    Date of Patent: May 10, 2022
    Assignee: NATIONAL CHUNG CHENG UNIVERSITY
    Inventors: Tay-Jyi Lin, Ching-Hau Sung, Che-Chia Pai, Ching-Wei Yeh
  • DEVICE AND METHOD FOR CLARIFYING DYSARTHRIA VOICES
    Publication number: 20220068260
    Abstract: A device and a method for clarifying dysarthria voices is disclosed. Firstly, a dysarthria voice signal is received and framed to generate dysarthria frames. Then, the dysarthria frames are received to retrieve dysarthria features. Finally, the dysarthria features are received. Without receiving phases corresponding to the dysarthria features, the dysarthria features are converted into an intelligent voice signal based on an intelligent voice conversion model. The intelligent voice conversion model is not trained by the dynamic time warping (DTW). The present invention avoids the phase distortion of the voice signal and provides more natural and clarified voices with low noise.
    Type: Application
    Filed: October 1, 2020
    Publication date: March 3, 2022
    Inventors: Tay-Jyi LIN, Che Chia PAI, Hsi Che WANG, Ching-Wei YEH
  • SYSTEM FOR IMPROVING DYSARTHRIA SPEECH INTELLIGIBILITY AND METHOD THEREOF
    Publication number: 20200312302
    Abstract: A system for improving dysarthria speech intelligibility and method thereof, are provided. In the system, user only needs to provides a set of paired corpus including a reference corpus and a patient corpus, and a speech disordering module can automatically generate a new corpus completely synchronous with the reference corpus, and the new corpus can be used as a training corpus for training a dysarthria voice conversion model. The present invention does not need to use a conventional corpus alignment technology or a manual manner to perform pre-processing on the training corpus, so that manpower cost and time cost can be reduced, and synchronization of the training corpus can be ensured, thereby improving both training and conversion qualities of the voice conversion model.
    Type: Application
    Filed: August 20, 2019
    Publication date: October 1, 2020
    Inventors: Tay-Jyi LIN, Ching-Hau SUNG, Che-Chia PAI, Ching-Wei YEH