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I-vetors-SVM

SVM model using i-vector.
AI-Hub에 등재된 정신건강진단 및 예측을 위한 멀티모달 데이터 학습모델.
Link URL : AI-Hub

i-vectors

전체 가변 행렬을 이용해 GSV(Gaussian Mixture Model Super Vector)를 낮은 차수로 표현함.
즉, Gaussian mixture model (GMM) 슈퍼벡터를 하나의 Total-variability 공간으로 표현함.

다차원의 벡터형태를 200에서 400차원의 형태로 변환.
대상화자가 아닌 일반적인 배경 화자들의 발성 특징 분포를 표현하는 하나의 모델(UBM)을 통해서 평균만 재학습해서 나온 다차원의 GSV를 200~400차원의 i-vector(identity vector) 형태로 변환하는 작업을 말함.

References

kaldi(pykaldi) 툴킷을 이용하여 i-vector feature를 추출.

kaldi

i-vector history

image

Supervised domain adaptation for i-vector based speaker recognition.

image

Purpose

정신건강 질환 코호트를 구축하여 수집되는 데이터를 활용한 인공지능 서비스 모델 개발(SVM)

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