Patents by Inventor Haici YANG

Haici YANG 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).

  • SPEECH CODING METHOD AND APPARATUS FOR PERFORMING THE SAME
    Publication number: 20240013796
    Abstract: A method of encoding a speech signal includes predicting a feature vector of each of a plurality of frames included in the speech signal based on a ground-truth feature vector of a previous frame of each of the plurality of frames, calculating a residual signal corresponding to each of the plurality of frames based on a ground-truth feature vector of each of the plurality of frames and a predicted feature vector of each of the plurality of frames, and generating a bitstring corresponding to each of the plurality of frames by quantizing the residual signal.
    Type: Application
    Filed: September 26, 2023
    Publication date: January 11, 2024
    Applicants: Electronics and Telecommunications Research Institute, The Trustees of Indiana University
    Inventors: Woo-taek LIM, Seung Kwon BEACK, Inseon JANG, Jongmo SUNG, Tae Jin LEE, Byeongho CHO, Minje KIM, Haici YANG
  • Methods of encoding and decoding speech signal using neural network model recognizing sound sources, and encoding and decoding apparatuses for performing the same
    Patent number: 11664037
    Abstract: Methods of encoding and decoding a speech signal using a neural network model that recognizes sound sources, and encoding and decoding apparatuses for performing the methods are provided. A method of encoding a speech signal includes identifying an input signal for a plurality of sound sources; generating a latent signal by encoding the input signal; obtaining a plurality of sound source signals by separating the latent signal for each of the plurality of sound sources; determining a number of bits used for quantization of each of the plurality of sound source signals according to a type of each of the plurality of sound sources; quantizing each of the plurality of sound source signals based on the determined number of bits; and generating a bitstream by combining the plurality of quantized sound source signals.
    Type: Grant
    Filed: May 20, 2021
    Date of Patent: May 30, 2023
    Assignees: Electronics and Telecommunications Research Institute, The Trustees of Indiana University
    Inventors: Woo-taek Lim, Seung Kwon Beack, Jongmo Sung, Mi Suk Lee, Tae Jin Lee, Inseon Jang, Minje Kim, Haici Yang
  • METHODS OF ENCODING AND DECODING SPEECH SIGNAL USING NEURAL NETWORK MODEL RECOGNIZING SOUND SOURCES, AND ENCODING AND DECODING APPARATUSES FOR PERFORMING THE SAME
    Publication number: 20210366497
    Abstract: Methods of encoding and decoding a speech signal using a neural network model that recognizes sound sources, and encoding and decoding apparatuses for performing the methods are provided. A method of encoding a speech signal includes identifying an input signal for a plurality of sound sources; generating a latent signal by encoding the input signal; obtaining a plurality of sound source signals by separating the latent signal for each of the plurality of sound sources; determining a number of bits used for quantization of each of the plurality of sound source signals according to a type of each of the plurality of sound sources; quantizing each of the plurality of sound source signals based on the determined number of bits; and generating a bitstream by combining the plurality of quantized sound source signals.
    Type: Application
    Filed: May 20, 2021
    Publication date: November 25, 2021
    Applicants: Electronics and Telecommunications Research Institute, The Trustees of Indiana University
    Inventors: Woo-taek LIM, Seung Kwon BEACK, Jongmo SUNG, Mi Suk LEE, Tae Jin LEE, Inseon JANG, Minje KIM, Haici YANG