Unsupervised Learning of Audio Segment Representations using Sequence-to-sequence Recurrent Neural Networks

Abstract

The vector representations of fixed dimensionality for words (in text) offered by Word2Vec have been shown to be very useful in many application scenarios, in particular due to the semantic information they carry. This paper proposes a parallel version, the Audio Word2Vec. It offers the vector representations of fixed dimensionality for variable-length… (More)

Topics

6 Figures and Tables

Statistics

05010015020162017
Citations per Year

Citation Velocity: 40

Averaging 40 citations per year over the last 2 years.

Learn more about how we calculate this metric in our FAQ.

Cite this paper

@inproceedings{Chung2016UnsupervisedLO, title={Unsupervised Learning of Audio Segment Representations using Sequence-to-sequence Recurrent Neural Networks}, author={Yu-An Chung and Chao-Chung Wu and Chia-Hao Shen and Hung-Yi Lee}, year={2016} }