Enhancement of Noisy Speech using Sub-band Harmonic Regeneration and Speech Presence Uncertainty Estimator

被引：0

作者：

Kumar, Ravi ^{[1
]}

Subbaiah, P. V. ^{[2
]}

机构：

[1] Lakireddy Balireddy Coll Engn, Dept Elect & Commun Engn, Mylavaram, Vijayawada, India

[2] VR Siddhartha Engn Coll, Dept Elect & Commun Engn, Vijayawada, India

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRONICS, INFORMATION & COMMUNICATION TECHNOLOGY (RTEICT) | 2016年

关键词：

Speech enhancement; Harmonic regeneratio; speech presence uncertainty estimation; wavelet packet transform;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a noise reduction technique based on sub-band harmonic regeneration with Speech Presence Uncertainty (SPU). Harmonic Regeneration (HRNR) overcomes the harmonic distortion, which is significant at low SNR values by preserving harmonics. For further noise suppression at low SNRs, Sub-band modification of HRNR gain with weights calculated using speech presence uncertainty is proposed. Objective (SNR, SegSNR, LLR, WSS) performance measures show that the proposed method provides superiority in noise reduction and measures like SNR and SegSNR shows better speech preservation at high SNRs, better noise suppression at low SNRs.

引用

页码：456 / 460

页数：5

共 50 条

[21] Microphone array sub-band speech recognition
McCowan, IA
Sridharan, S
2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING, 2001, : 185 - 188
[22] The effect of modified filter distribution on an adaptive, sub-band speech enhancement method
Darlington, DJ
Campbell, DR
1996 IEEE DIGITAL SIGNAL PROCESSING WORKSHOP, PROCEEDINGS, 1996, : 153 - 156
[23] Single-Channel Speech Enhancement Based on Sub-Band Spectral Entropy
Wei, Yi
Zeng, Yumin
Li, Chen
JOURNAL OF THE AUDIO ENGINEERING SOCIETY, 2018, 66 (03): : 100 - 113
[24] Wavelet based speech presence probability estimator for speech enhancement
Lun, Daniel Pak-Kong
Shen, Tak-Wai
Hsung, Tai-Chiu
Ho, Dominic K. C.
DIGITAL SIGNAL PROCESSING, 2012, 22 (06) : 1161 - 1173
[25] Speech Enhancement Using Adaptive MMSE Estimator Under Signal Presence Uncertainty and Laplacian Prior
Rashidi-nejad, Mehdi
Abutalebi, Hamid Reza
2012 SIXTH INTERNATIONAL SYMPOSIUM ON TELECOMMUNICATIONS (IST), 2012, : 843 - 847
[26] Lightweight Full-band and Sub-band Fusion Network for Real Time Speech Enhancement
Chen, Zhuangqi
Zhang, Pingjian
INTERSPEECH 2022, 2022, : 921 - 925
[27] A Dual-microphone Sub-band Post-filter Using Simplified TBRR for Speech Enhancement
Wang, Haiping
Zhou, Yi
Ma, Yongbao
Liu, Hongqing
PROCEEDINGS OF 2020 IEEE 15TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP 2020), 2020, : 99 - 103
[28] Error Resilient Speech Coding Using Sub-band Hilbert Envelopes
Ganapathy, Sriram
Motlicek, Petr
Hermansky, Hynek
TEXT, SPEECH AND DIALOGUE, PROCEEDINGS, 2009, 5729 : 355 - +
[29] Minimum mean square error estimator for speech enhancement in additive noise assuming Weibull speech priors and speech presence uncertainty
Bahrami, Mojtaba
Faraji, Neda
INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY, 2021, 24 (01) : 97 - 108
[30] Minimum mean square error estimator for speech enhancement in additive noise assuming Weibull speech priors and speech presence uncertainty
Mojtaba Bahrami
Neda Faraji
International Journal of Speech Technology, 2021, 24 : 97 - 108

← 1 2 3 4 5 →