2014
DOI: 10.3233/bme-141183
|View full text |Cite
|
Sign up to set email alerts
|

Optimal subband Kalman filter for normal and oesophageal speech enhancement

Abstract: 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 Oesophage… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2015
2015
2016
2016

Publication Types

Select...
1
1

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 29 publications
0
1
0
Order By: Relevance
“…Statistical conversion from ES to normal speech has also improved intelligibility, but requires more ES data [8]. Some other not so common approaches are based on Kalman filtering [9,10,11,12], and modulation filtering enhancement [13,14].…”
Section: Introductionmentioning
confidence: 99%
“…Statistical conversion from ES to normal speech has also improved intelligibility, but requires more ES data [8]. Some other not so common approaches are based on Kalman filtering [9,10,11,12], and modulation filtering enhancement [13,14].…”
Section: Introductionmentioning
confidence: 99%