Method for searching for contents having same voice as voice of target speaker, and apparatus for executing same

    公开(公告)号:US11664015B2

    公开(公告)日:2023-05-30

    申请号:US17319566

    申请日:2021-05-13

    申请人: NEOSAPIENCE, INC.

    摘要: A method for searching content having same voice as a voice of a target speaker from among a plurality of contents includes extracting a feature vector corresponding to the voice of the target speaker, selecting any subset of speakers from a training dataset repeatedly by a predetermined number of times, generating linear discriminant analysis (LDA) transformation matrices using each of the selected any subsets of speakers repeatedly by a predetermined number of times, projecting the extracted speaker feature vector to the selected corresponding subsets of speakers using each of the generated LDA transformation matrices, assigning a value corresponding to nearby speaker class among corresponding subsets of speakers, to each of projection regions of the extracted speaker feature vector, generating a hash value corresponding to the extracted feature vector based on the assigned values, and searching content having a similar hash value to the generated hash value among the contents.

    Multilingual text-to-speech synthesis

    公开(公告)号:US11217224B2

    公开(公告)日:2022-01-04

    申请号:US16682390

    申请日:2019-11-13

    申请人: NEOSAPIENCE, INC.

    摘要: A multilingual text-to-speech synthesis method and system are disclosed. The method includes receiving first learning data including a learning text of a first language and learning speech data of the first language corresponding to the learning text of the first language, receiving second learning data including a learning text of a second language and learning speech data of the second language corresponding to the learning text of the second language, and generating a single artificial neural network text-to-speech synthesis model by learning similarity information between phonemes of the first language and phonemes of the second language based on the first learning data and the second learning data.

    METHOD AND SYSTEM FOR APPLYING SYNTHETIC SPEECH TO SPEAKER IMAGE

    公开(公告)号:US20230206896A1

    公开(公告)日:2023-06-29

    申请号:US18113671

    申请日:2023-02-24

    申请人: NEOSAPIENCE, INC.

    IPC分类号: G10L13/08 G10L25/30 G10L15/02

    摘要: The present disclosure relates to a method for applying synthesis voice to a speaker image, in which the method includes receiving an input text, inputting the input text to an artificial neural network text-to-speech synthesis model and outputting voice data for the input text, generating a synthesis voice corresponding to the output voice data, and generating information on a plurality of phonemes included in the output voice data, in which the information on the plurality of phonemes may include timing information for each of the plurality of phonemes included in the output voice data.

    METHOD FOR SEARCHING FOR CONTENTS HAVING SAME VOICE AS VOICE OF TARGET SPEAKER, AND APPARATUS FOR EXECUTING SAME

    公开(公告)号:US20210280173A1

    公开(公告)日:2021-09-09

    申请号:US17319566

    申请日:2021-05-13

    申请人: NEOSAPIENCE, INC.

    摘要: A method for searching content having same voice as a voice of a target speaker from among a plurality of contents includes extracting a feature vector corresponding to the voice of the target speaker, selecting any subset of speakers from a training dataset repeatedly by a predetermined number of times, generating linear discriminant analysis (LDA) transformation matrices using each of the selected any subsets of speakers repeatedly by a predetermined number of times, projecting the extracted speaker feature vector to the selected corresponding subsets of speakers using each of the generated LDA transformation matrices, assigning a value corresponding to nearby speaker class among corresponding subsets of speakers, to each of projection regions of the extracted speaker feature vector, generating a hash value corresponding to the extracted feature vector based on the assigned values, and searching content having a similar hash value to the generated hash value among the contents.

    METHOD FOR PERFORMING SYNTHETIC SPEECH GENERATION OPERATION ON TEXT

    公开(公告)号:US20230186895A1

    公开(公告)日:2023-06-15

    申请号:US18108080

    申请日:2023-02-10

    申请人: NEOSAPIENCE, INC.

    IPC分类号: G10L13/10 G10L13/027

    CPC分类号: G10L13/10 G10L13/027

    摘要: A method for performing the synthetic speech generation operation on text is provided, including receiving a plurality of sentences, receiving a plurality of speech style characteristics for the plurality of sentences, inputting the plurality of sentences and the plurality of speech style characteristics into an artificial neural network text-to-speech synthesis model, so as to generate a plurality of synthetic speeches for the plurality of sentences that reflect the plurality of speech style characteristics, and receiving a response to at least one of the plurality of synthetic speeches.

    MULTILINGUAL TEXT-TO-SPEECH SYNTHESIS

    公开(公告)号:US20220084500A1

    公开(公告)日:2022-03-17

    申请号:US17533459

    申请日:2021-11-23

    申请人: NEOSAPIENCE, INC.

    摘要: A multilingual text-to-speech synthesis method and system are disclosed. The method includes receiving an articulatory feature of a speaker regarding a first language, receiving an input text of a second language, and generating output speech data for the input text of the second language that simulates the speaker's speech by inputting the input text of the second language and the articulatory feature of the speaker regarding the first language to a single artificial neural network multilingual text-to-speech synthesis model. The single artificial neural network multilingual text-to-speech synthesis model is generated by learning similarity information between phonemes of the first language and phonemes of the second language based on a first learning data of the first language and a second learning data of the second language.