Sequential Deep Neural Networks Ensemble for Speech Bandwidth Extension

Lee, Bong Ki; Noh, Kyoungjin; Chang, Joon‐Hyuk; Choo, Kihyun; Oh, Eunmi

doi:10.1109/access.2018.2833890

Cited by 10 publications

(2 citation statements)

References 30 publications

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“…Many methods for excitation enhancement are found [3]. Many methods for CWB spectral envelope approximation are illustrated [3][4][5][6][7]. Even though ABETs have many advantages there are a few limitations like their performance is limited.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Transform Based Speech Band Width Enhancement Using Data Hiding

Koduri¹,

T²

2022

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The limited narrow band (LNB) speech signal spread in the range of 300 to 3400Hz used in public switched telephone networks results in poor-quality telephony speech. Bandwidth extension techniques are performed to expand the frequency range from LNB speech to a clear wideband (CWB) speech signal range of 50Hz-7000Hz over existing public telephone networks. In this paper, a novel robust speech bandwidth extension algorithm by Discrete Wavelet Transform- Discrete Cosine Transform- Based Data Hiding (DWT-DCT-DH) Hybrid transform model was used to spread the out-of-band (3400Hz to 7000Hz) speech frequencies over the LNB speech. In this proposed technique the out-of-band speech frequencies are embedded in LNB speech and imperceptibly spread over the network. These Embedded out-of-band speech frequencies are recovered steadily at the receiver end to generate a restored CWB telephony speech of considerably better quality. The proposed technique simulation results show more intelligible and better-quality telephony speech generated compared to the other bandwidth extension techniques.

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Section: Introductionmentioning

confidence: 99%

Hybrid Transform Based Speech Band Width Enhancement Using Data Hiding

Koduri¹,

T²

2022

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“…Different approaches for extension of excitation signal are presented in [2], [3]. Different techniques for estimating WIB spectral envelop are presented in [3][4][5][6][7]. However, traditional artificial bandwidth extension methods are suffering from reconstructing WIB speech with high quality under all conditions [8].…”

Section: Introductionmentioning

confidence: 99%

DWT-DCT-Based Data Hiding for Speech Bandwidth Extension

Koduri¹,

Kumar²

2021

RADIOENGINEERING

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The limited narrowband frequency range, about 300-3400Hz, used in telephone network channels results in less intelligible and poor-quality telephony speech. To address this drawback, a novel robust speech bandwidth extension using Discrete Wavelet Transform-Discrete Cosine Transform Based Data Hiding is proposed. In this technique, the missing speech information is embedded in the narrowband speech signal. The embedded missing speech information is recovered steadily at the receiver end to generate a wideband speech of considerably better quality. The robustness of the proposed method to quantization and channel noises is confirmed by the mean square error test. The enhancement in the quality of reconstructed wideband speech of the proposed method over conventional methods is reasserted by subjective listening and objective tests.

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Discrete cosine transform-based data hiding for speech bandwidth extension

Koduri

2022

Int J Speech Technol

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Sequential Deep Neural Networks Ensemble for Speech Bandwidth Extension

Cited by 10 publications

References 30 publications

Hybrid Transform Based Speech Band Width Enhancement Using Data Hiding

Hybrid Transform Based Speech Band Width Enhancement Using Data Hiding

DWT-DCT-Based Data Hiding for Speech Bandwidth Extension

Discrete cosine transform-based data hiding for speech bandwidth extension

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