I-Vectors distance learning with Convolutional Neural Networks

Authors

Valentin Iovene

Type

techreport

Year

2015

Number

1903

Projects

Speaker ID

Abstract

In this work we apply Convolutional Neural Networks to the task of speaker recognition. The CNN is used to approximate a measure of the distance between two i-vectors (representation of a speaker). Contrary to the commonly used cosine similarity measure, the function approximated by a CNN can be non-linear. The performance of this model will be compared to the ones of the Cosine Similarity measure and PLDA classification.