Length-Normalized Representation Learning for Speech Signals-Reference-Cited by-同舟云学术

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Length-Normalized Representation Learning for Speech Signals

Published:2022 Issue: Volume:10 Page:60362-60372
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Byun Kyungguen¹^ORCID,Um Seyun¹^ORCID,Kang Hong-Goo¹^ORCID

Affiliation:

1. Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea

Funder

Yonsei Signature Research Cluster Program of 2022

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09791224.pdf?arnumber=9791224

Reference41 articles.

1. Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning

2. Deep Multimodal Representation Learning: A Survey

3. Adam: A method for stochastic optimization;kingma;arXiv 1412 6980,2014

4. Librispeech: An ASR corpus based on public domain audio books

5. HiFi-GAN: Generative adversarial networks for efficient and high fidelity speech synthesis;kong;arXiv 2010 05646,2020

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