MeWEHV: Mel and Wave Embeddings for Human Voice Tasks-Reference-Cited by-同舟云学术

MeWEHV: Mel and Wave Embeddings for Human Voice Tasks

Published:2023 Issue: Volume:11 Page:80089-80104
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Carofilis Andrés¹^ORCID,Fernández-Robles Laura²^ORCID,Alegre Enrique¹^ORCID,Fidalgo Eduardo¹^ORCID

Affiliation:

1. Department of Electrical, Systems, and Automation Engineering, School of Industrial, Computer and Aerospace Engineering, Universidad de León, Campus de Vegazana, León, Spain

2. Department of Mechanical, Computer, and Aerospace Engineering, Universidad de León, Campus de Vegazana, León, Spain

Funder

European Union’s Horizon 2020 Research and Innovation Framework Programme under the Global Response Against Child Exploitation (GRACE) Project

“Ayudas para financiar la contratación predoctoral de personal investigador” grant of the Government of Castilla y León, Spain

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/ielx7/6287639/10005208/10198451.pdf?arnumber=10198451

Reference69 articles.

1. Attentive Temporal Pooling for Conformer-Based Streaming Language Identification in Long-Form Speech

2. X-Vectors: Robust DNN Embeddings for Speaker Recognition

3. MLS: A Large-Scale Multilingual Dataset for Speech Research

4. Time delay deep neural network-based universal background models for speaker recognition

5. An End-to-End Dialect Identification System with Transfer Learning from a Multilingual Automatic Speech Recognition Model

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