公开(公告)号：US20220358934A1

公开(公告)日：2022-11-10

申请号：US17621766

申请日：2019-06-28

Applicant: NEC Corporation

Inventor： Qiongqiong WANG ,  Kong Aik LEE ,  Takafumi KOSHINAKA

IPC: G10L17/06 ,  G10L17/04 ,  G10L25/18 ,  G10L17/18

Abstract: A spoofing detection apparatus 100 includes a multi-channel spectrogram creation unit 10 and an evaluation unit 40. The multi-channel spectrogram creation unit 10 extracts different type of spectrograms from speech data and integrates the different type of spectrograms to create a multi-channel spectrogram. The evaluation unit 40 evaluates the created multi-channel spectrogram by applying the created multi-channel spectrogram to a classifier constructed using labeled multi-channel spectrograms as training data and classifies it to either genuine or spoof.

公开(公告)号：US20230143808A1

公开(公告)日：2023-05-11

申请号：US17914546

申请日：2020-03-27

Applicant: NEC Corporation

Inventor： Kosuke AKIMOTO ,  Seng Pei LIEW ,  Ryo MIZUSHIMA ,  Kong Aik LEE

IPC: G06F21/32

CPC classification number: G06F21/32

Abstract: A feature calculation means calculates N features for first data and N features for second data by using N feature functions for obtaining a feature for data on the basis of the data. A similarity degree calculation means calculates a similarity degree between the first data and the second data on the basis of the N features for the first data and the N features for the second data. Values of N features obtained when the same data is substituted into the N feature functions are different from each other.

公开(公告)号：US20210390158A1

公开(公告)日：2021-12-16

申请号：US17284899

申请日：2019-03-28

Applicant: NEC Corporation

Inventor： Kong Aik LEE ,  Qiongqiong WANG ,  Takafumi KOSHINAKA

IPC: G06F17/16 ,  G06N20/00 ,  G06K9/62

Abstract: A covariance matrix computation unit 81 computes a pseudo-in-domain covariance matrix from one or both of a within class covariance matrix and a between class covariance matrix of an out-of-domain Probabilistic Linear Discriminant Analysis (PLDA) model. A simultaneous diagonalization unit 82 computes a generalized eigenvalue and an eigenvector for a pseudo-in-domain covariance matrix and the class covariance matrix of the out-of-domain PLDA model on the basis of simultaneous diagonalization. An adaptation unit 83 computes one or both of a within class covariance matrix and a between class covariance matrix of an in-domain PLDA model using the generalized eigenvalues and eigenvectors. The covariance matrix computation unit 81 computes the pseudo-in-domain covariance matrix based on the out-of-domain PLDA model and a covariance matrix of in-domain data.

公开(公告)号：US20220335950A1

公开(公告)日：2022-10-20

申请号：US17764291

申请日：2019-10-18

Applicant: NEC Corporation

Inventor： Qiongqiong WANG ,  Takafumi KOSHINAKA ,  Kong Aik LEE

IPC: G10L17/18 ,  G10L17/02 ,  G06N3/08

Abstract: A spoofing detection apparatus 100 includes a multi-channel spectrogram creation unit 10 and an evaluation unit 40. The multi-channel spectrogram creation unit 10 extracts different type of spectrograms from speech data and integrates the different type of spectrograms to create a multi-channel spectrogram. The evaluation unit 40 evaluates the created multi-channel spectrogram by applying the created multi-channel spectrogram to a classifier constructed using labeled multi-channel spectrograms as training data and classifies it to either genuine or spoof.

公开(公告)号：US20220270614A1

公开(公告)日：2022-08-25

申请号：US17625155

申请日：2019-07-10

Applicant: NEC Corporation

Inventor： Kong Aik LEE ,  Takafumi KOSHINAKA

IPC: G10L17/08 ,  G10L17/02 ,  G10L17/04

Abstract: An input unit 81 inputs an observation at current time step. A frame alignment unit 82 computes a frame alignment at a current time step by using the input observation. An i-vector computation unit 83 computes an i-vector and a precision matrix by using the computed frame alignment, the input observation, and a product obtained when computing the i-vector at the previous time step. An output unit 84 outputs the computed i-vector and precision matrix.

公开(公告)号：US20210256970A1

公开(公告)日：2021-08-19

申请号：US17253434

申请日：2018-06-29

Applicant: NEC Corporation

Inventor： Qiongqiong WANG ,  Koji OKABE ,  Kong Aik LEE ,  Takafumi KOSHINAKA

IPC: G10L15/20 ,  G10L15/02 ,  G10L25/84 ,  G10L25/30

Abstract: A speech feature extraction apparatus 100 includes a voice activity detection unit 103 that drops non-voice frames from frames corresponding to an input speech utterance, and calculates a posterior of being voiced for each frame, a voice activity detection process unit 106 calculates a function value as weights in pooling frames to produce an utterance-level feature, from a given a voice activity detection posterior, and an utterance-level feature extraction unit 112 that extracts an utterance-level feature, from the frame on a basis of multiple frame-level features, using the function values.