JOURNAL ARTICLE

Bandwidth extension of narrowband speech using cepstral analysis

Abstract

This paper describes a vector quantization based algorithm that extends the bandwidth of narrowband speech into wideband speech. Cepstral analysis is used to represent the spectral envelope information and the wideband excitation is generated using fullwave rectification with spectral whitening. Objective and subjective tests conducted show great improvement in speech quality over the original narrowband speech. The algorithm can be implemented as a postprocessor without the need for any side information.

Keywords:
Narrowband Bandwidth extension Wideband Computer science Speech recognition Spectral envelope Wideband audio Bandwidth (computing) Cepstrum Vector quantization Speech coding Quantization (signal processing) Electronic engineering Artificial intelligence Telecommunications Algorithm Engineering Audio signal Digital audio

Metrics

3
Cited By
0.00
FWCI (Field Weighted Citation Impact)
11
Refs
0.23
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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