Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding
Author:
Affiliation:
1. Beijing University of Posts and Telecommunications,China
2. Singapore University of Technology and Design,Singapore
3. Independent Researcher,USA
4. University of Michigan,USA
Funder
Ministry of Education
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095656.pdf?arnumber=10095656
Reference27 articles.
1. HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
2. Semi-Supervised Spoken Language Understanding via Self-Supervised Speech and Language Model Pretraining
3. Parameter-efficient transfer learning for nlp;houlsby;International Conference on Machine Learning,2019
4. SUPERB: Speech Processing Universal PERformance Benchmark
5. Effectiveness of Self-Supervised Pre-Training for ASR
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Fine-Tuning Optimization of Small Language Models: A Novel Graph-Theoretical Approach for Efficient Prompt Engineering;2024 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB);2024-06-19
2. Ymir: A Scheduler for Foundation Model Fine-tuning Workloads in Datacenters;Proceedings of the 38th ACM International Conference on Supercomputing;2024-05-30
3. Parameter Efficient Finetuning for Speech Emotion Recognition and Domain Adaptation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
4. PEFT-SER: On the Use of Parameter Efficient Transfer Learning Approaches For Speech Emotion Recognition Using Pre-trained Speech Models;2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII);2023-09-10
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3