Spoken Language Identification Using LSTM-Based Angular Proximity

Abstract

This paper describes the design of an acoustic language identification (LID) system based on LSTMs that directly maps a sequence of acoustic features to a vector in a vector space where the angular proximity corresponds to a measure of language/dialect similarity. A specific architecture for the LSTMbased language vector extractor is introduced along with… (More)

5 Figures and Tables

Topics

  • Presentations referencing similar topics