Optimal subband Kalman filter for normal and oesophageal speech enhancement

被引：2
|
作者：
Ishaq, Rizwan [1 ]
Garcia Zapirain, Begona [1 ]
机构：
[1] Univ Deusto, Deustotech LIFE, Bilbao, Spain
来源：
BIO-MEDICAL MATERIALS AND ENGINEERING | 2014年 / 24卷 / 06期
关键词：
Kalman filter; autoregressive; speech enhancement; weighted linear prediction; NOISE;
D O I：
10.3233/BME-141183
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
This paper presents the single channel speech enhancement system using subband Kalman filtering by estimating optimal Autoregressive (AR) coefficients and variance for speech and noise, using Weighted Linear Prediction (WLP) and Noise Weighting Function (NWF). The system is applied for normal and Oesophageal speech signals. The method is evaluated by Perceptual Evaluation of Speech Quality (PESQ) score and Signal to Noise Ratio (SNR) improvement for normal speech and Harmonic to Noise Ratio (HNR) for Oesophageal Speech (OES). Compared with previous systems, the normal speech indicates 30% increase in PESQ score, 4 dB SNR improvement and OES shows 3 dB HNR improvement.
引用
收藏
页码：3569 / 3578
页数：10
相关论文
共 50 条
  • [21] A Deep Learning-based Kalman Filter for Speech Enhancement
    Roy, Sujan Kumar
    Nicolson, Aaron
    Paliwal, Kuldip K.
    INTERSPEECH 2020, 2020, : 2692 - 2696
  • [22] KALMAN FILTER WITH PHASE SPECTRUM COMPENSATION ALGORITHM FOR SPEECH ENHANCEMENT
    So, Stephen
    Wojcicki, Kamil K.
    Lyons, James G.
    Stark, Anthony P.
    Paliwal, Kuldip K.
    2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS, 2009, : 4405 - 4408
  • [23] A Kalman filter based on wavelet filter-bank and psychoacoustic modeling for speech enhancement
    Shao, Yu
    Chang, Chip-Hong
    2006 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11, PROCEEDINGS, 2006, : 121 - +
  • [24] Iterative and sequential Kalman filter-based speech enhancement algorithms
    Gannot, S
    Burshtein, D
    Weinstein, E
    IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, 1998, 6 (04): : 373 - 385
  • [25] RESTORATION OF INSTANTANEOUS AMPLITUDE AND PHASE USING KALMAN FILTER FOR SPEECH ENHANCEMENT
    Nower, Naushin
    Liu, Yang
    Unoki, Masashi
    2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2014,
  • [26] An efficient speech enhancement method using Kalman filter and spectral subtraction
    Kao, CC
    Lai, YT
    PROCEEDINGS OF THE 2004 IEEE ASIA-PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS, VOL 1 AND 2: SOC DESIGN FOR UBIQUITOUS INFORMATION TECHNOLOGY, 2004, : 181 - 184
  • [27] Speech Enhancement by Kalman Filtering with a Particle Filter-Based Preprocessor
    Lee, Yun-Kyung
    Jung, Gyeo-Woon
    Kwon, Oh-Wook
    2013 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE), 2013, : 340 - 341
  • [28] ADAPTIVE WAVELET PACKET THRESHOLDING WITH ITERATIVE KALMAN FILTER FOR SPEECH ENHANCEMENT
    Zhao, Mengjiao
    Zhu, Wei-Ping
    2017 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP 2017), 2017, : 71 - 75
  • [29] A wavelet Kalman filter with perceptual masking for speech enhancement in colored noise
    Ma, N
    Bouchard, M
    Goubran, RA
    2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING, 2005, : 149 - 152
  • [30] A Modified Oesophageal Speech Enhancement Using Ephraim-Malah Filter For Robust Speech Recognition
    Babu, C. Ganesh
    Vanathi, P. T.
    Dcruz, Jibby Peter
    RECENT ADVANCES IN NETWORKING, VLSI AND SIGNAL PROCESSING, 2010, : 129 - +
12345