JOURNAL ARTICLE

Mel-frequency cepstral coefficient-based bandwidth extension of narrowband speech

Abstract

Abstract We present a novel MFCC-based scheme for the BandwidthExtension (BWE) of narrowband speech. BWE is based onthe assumption that narrowband speech (0.3–3.4 kHz) cor-relates closely with the highband signal (3.4–7 kHz), en-abling estimation of the highband frequency content given thenarrow band. While BWE schemes have traditionally usedLP-based parametrizations, our recent work has shown thatMFCC parametrization results in higher correlation betweenboth bands reaching twice that using LSFs. By employinghigh-resolution IDCT of highband MFCCs obtained from nar-rowband MFCCs by statistical estimation, we achieve high-quality highband power spectra from which the time-domainspeech signal can be reconstructed. Implementing this schemefor BWE translates the higher correlation advantage of MFCCsinto BWE performance superior to that obtained using LSFs,as shown by improvements in log-spectral distortion as well asItakura-based measures (the latter improving by up to 13%). Index Terms : Bandwidth extension, high-resolution IDCT,highband certainty, mutual information, source-filter model

Keywords:
Narrowband Computer science Bandwidth extension Mel-frequency cepstrum Bandwidth (computing) Speech recognition Correlation Correlation coefficient Spectral density Distortion (music) Artificial intelligence Pattern recognition (psychology) Speech coding Mathematics Feature extraction Audio signal Telecommunications

Metrics

26
Cited By
1.47
FWCI (Field Weighted Citation Impact)
14
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Speech Recognition and Synthesis
Physical Sciences →  Computer Science →  Artificial Intelligence
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