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Robust speech recognition using harmonic features

Published:2014-04 Issue:2 Volume:8 Page:167-175
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET signal process.

Author:

Goh Yeh Huann¹,Raveendran Paramesran¹,Jamuar Sudhanshu Shekhar¹

Affiliation:

1. Faculty of EngineeringDepartment of Electrical EngineeringUniversity of MalayaLembah PantaiKuala Lumpur50603Malaysia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-spr.2013.0094

Reference32 articles.

1. Irizarry R.: ‘The additive sinusoidal plus residual model: A statistical analysis’.Proc. CNMAT 1999

2. Short‐time Fourier analysis via optimal harmonic FIR filters;Park S.;IEEE Trans. Signal Process.,2002

3. Maximum A-Posteriori Probability Pitch Tracking in Noisy Environments Using Harmonic Model

4. Interpolation of Lost Speech Segments Using LP-HNM Model With Codebook Post-Processing

5. Multiband excitation vocoder;Griffin D.;IEEE Trans. Acoust., Speech Signal Process.,2002

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1. An Audio Distortion Dynamic Range Index for Evaluating the Performance of Audio Systems;Applied Sciences;2020-11-12

2. Performance evaluation of psycho-acoustically motivated front-end compensator for TIMIT phone recognition;Pattern Analysis and Applications;2019-04-03

3. Admissible wavelet packet sub‐band based harmonic energy features using ANOVA fusion techniques for Hindi phoneme recognition;IET Signal Processing;2016-10

4. FPGA-Based Robust Wireless Speech Motion Control for Home Service Robot Subject to Environmental Noises;International Journal of Fuzzy Systems;2016-07-18

5. MLP-based isolated phoneme classification using likelihood features extracted from reconstructed phase space;Engineering Applications of Artificial Intelligence;2015-09

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