Robust speech recognition system using bidirectional Kalman filter

Author:

Goh Yeh Huann1,Raveendran Paramesran1,Goh Yann Ling12

Affiliation:

1. Department of Electrical EngineeringFaculty of EngineeringUniversity of MalayaLembah Pantai50603Kuala LumpurMalaysia

2. Department of Mathematical and Actuarial SciencesLee Kong Chian Faculty of Engineering ScienceUniversiti Tunku Abdul RahmanJalan Sungai Long, Bandar Sungai LongCheras43000KajangMalaysia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Reference31 articles.

1. Paliwal K. Basu A.: ‘A speech enhancement method based on Kalman filtering’.IEEE Int. Conf. on Acoustics Speech and Signal Processing 1987 vol.12 pp.177–180

2. Kalman‐filtering speech enhancement method based on a voiced‐unvoiced speech model;Goh Z.;IEEE Trans. Speech Audio Process.,1999

3. Gabrea M.: ‘Adaptive Kalman filtering‐based speech enhancement algorithm’.IEEE Canadian Conf. on Electrical and Computer Engineering 2001 vol.1 pp.521–526

4. Iterative and sequential Kalman filter-based speech enhancement algorithms

5. Time-domain approach using multiple Kalman filters and EM algorithm to speech enhancement with nonstationary noise

Cited by 10 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. A comprehensive survey on automatic speech recognition using neural networks;Multimedia Tools and Applications;2023-08-15

2. Recursive Filter With Exponential Kernel for Nonstationary Systems;IEEE Access;2022

3. Real-time pre-processing for improved feature extraction of noisy speech;International Journal of Speech Technology;2021-03-26

4. Adaptation of Bidirectional Kalman Filter to Multi-Frequency Time-of-Flight Range Imaging;2019 International Conference on Image and Vision Computing New Zealand (IVCNZ);2019-12

5. Oblique Projection and Cepstral Subtraction in Signal Subspace Speech Enhancement for Colored Noise Reduction;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2018-12

同舟云学术

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