Speech Bandwidth Extension Aided by Magnitude Spectrum Data Hiding

Prasad, N.; Kumar, T. K. Satish

doi:10.1007/s00034-017-0526-5

Cited by 6 publications

(14 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The obtained speech quality of the proposed method and conventional speech BE methods [8][9][10]15] is also assessed using absolute category rating (ACR) listening test [34] recommended by international telecommunications union (ITU-T). Speech BE using different data hiding techniques [8,9,[27][28][29][30][31] are used MOS test to evaluate the perceptual transparency. These tests were conducted in a quiet environment using headphones.…”

Section: Subjective Listening Test Resultsmentioning

confidence: 99%

“…Bit error rate (BER) is used to evaluate the robustness of hidden data against quantization and channel noises. Speech BE using different data hiding techniques [11,13,27,29,30] are used NB-PESQ measure to evaluate the perceptual transparency.…”

Section: Objective Test Resultsmentioning

confidence: 99%

“…Smaller LSD value indicates the best quality of the reconstructed HIB signal. Table 5 illustrates the results of the mean LSD values for the traditional techniques [8][9][10]15] and the proposed technique under μ-law coding [8,11,12,[27][28][29][30][31][32]. A clearly improved reconstructed HIB signal quality and thus clearly improved reconstructed WB signal quality of the proposed technique over the traditional techniques is observed from Tab.…”

Section: Comparison Of Original and Reconstructed Hib Speechmentioning

confidence: 99%

See 2 more Smart Citations

Speech Bandwidth Extension Using DWT-FFT-Based Data Hiding

Kurada¹,

Maruvada²,

Sanagapallea³

2020

RADIOENGINEERING

View full text Add to dashboard Cite

A novel transform-domain speech bandwidth extension algorithm is proposed to transmit information about the missing speech frequencies over a hidden channel, i.e., the related encoded spectral envelope parameters are hidden within the narrowband speech signal using discrete wavelet transform-fast Fourier transform-based data hiding (DWTFFTBDH) technique. The hidden information is recovered reliably at the receiver to produce a wideband speech signal of much higher quality. Obtained results confirm the excellent reconstructed wideband speech quality of the proposed method over traditional methods.

show abstract

Section: Subjective Listening Test Resultsmentioning

confidence: 99%

Section: Objective Test Resultsmentioning

confidence: 99%

Section: Comparison Of Original and Reconstructed Hib Speechmentioning

confidence: 99%

See 1 more Smart Citation

Speech Bandwidth Extension Using DWT-FFT-Based Data Hiding

Kurada¹,

Maruvada²,

Sanagapallea³

2020

RADIOENGINEERING

View full text Add to dashboard Cite

show abstract

“…The WIB signal of better quality is regenerated in [12][13][14] using joint source coding and data hiding technique. A high-quality WIB signal is reconstructed in [15], [16] using various frequency-domain data hiding techniques. The enhancement in the quality of reconstructed WIB speech is achieved by restoring the hidden audible components of the out-of-band signal [17].…”

Section: Introductionmentioning

confidence: 99%

“…Also, these techniques must be able to handle issues pertaining to quanti-zation and channel noises. Nevertheless, most of the traditional techniques fail to provide high-quality CNAB and RWIB signals [9][10][11][12][13][14][15][16][17][18][19]. Also, they are less robust to channel and quantization noises.…”

Section: Introductionmentioning

confidence: 99%

DWT-DCT-Based Data Hiding for Speech Bandwidth Extension

Koduri¹,

Kumar²

2021

RADIOENGINEERING

View full text Add to dashboard Cite

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.

show abstract

Transform-Domain Speech Bandwidth Extension

Nizampatnam¹,

Raju²

2019

Circuits Syst Signal Process

View full text Add to dashboard Cite

Speech Bandwidth Extension Aided by Magnitude Spectrum Data Hiding

Cited by 6 publications

References 26 publications

Speech Bandwidth Extension Using DWT-FFT-Based Data Hiding

Speech Bandwidth Extension Using DWT-FFT-Based Data Hiding

DWT-DCT-Based Data Hiding for Speech Bandwidth Extension

Transform-Domain Speech Bandwidth Extension

Contact Info

Product

Resources

About