Proposed modifications in ITU-T G.729 8 kbps CS-ACELP speech codec and its overall performance analysis

Tahilramani, Nikunj; Bhatt, Ninad

doi:10.1007/s10772-017-9431-3

Cited by 3 publications

(4 citation statements)

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“…The resultant LP coefficients and segmented speech samples are given input to the weighting filter to avoid the effect of noise generated at the synthesis stage due to noise located in lower energy regions. According to the analysis by synthesis principle, for each sub frame time slots, the output of the weighted error is deducted from the output of the filter impulse response which is a grouping of error weighting filter and short-term synthesis filter (Tahilramani & Bhatt, 2017). For long term analysis, contribution of pitch is subtracted from the output by subtracting the combination of impulse response and adaptive codebook from it.…”

Section: Excitation Sequence Generation In Conjugate Structure-algebraic Code Excited Linear Prediction Based Speech Codecmentioning

confidence: 99%

“…Subjective and objective quality assessment measures are utilized for evaluation of overall performance of proposed codec incorporating information hiding. Subjective analysis is checked by MOS while objective estimation is classified into perceptual based, waveform based and spectral based analysis (Tahilramani & Bhatt, 2017).…”

Section: Subjective and Objective Measuresmentioning

confidence: 99%

“…The quality of the output speech is asked to judge by 30 different listeners (out of which 15 are male and 15 are female listeners). The subjects are requested to rate the overall eminence of the speech (as shown in Table 7) by listening the speech in silent environment with superior quality of head phones (Tahilramani & Bhatt, 2017).…”

Section: Subjective Measuresmentioning

confidence: 99%

“…Performance of proposed speech codec with the provision of confidential information hiding is evaluated with different objective quality assessment measures classified into waveform, spectral, perceptual and composite measures based analysis (Bhatt & Kosta, 2011;Tahilramani & Bhatt, 2015. In waveform based analysis: Mean square Error (MSE), Segmental SNR (SNRSEG), Absolute Error (ABS), Signal to Noise Ratio (SNR), Root Mean Square Error (RMSE) (Tahilramani & Bhatt, 2017); while in Perceptual based analysis: Perceptual Evaluation of Speech Quality (PESQ) (ITU-T Recommendation, 2000; Tahilramani & Bhatt, 2017) and in Spectral based analysis Log Likelihood Ratio (LLR), Itakura Saito Distance (ISD), Cepstrum Distance (CEP), Frequency Weighted Segmental SNR (fwSN-Rseg), Weighted slop spectrum distance (fwSNRs) (Bhatt & Kosta, 2012;Tahilramani & Bhatt, 2017) are explored. In Composite Measures parameters like Csig, Cbak, Covl are computed as per (Tahilramani & Bhatt, 2017).…”

Section: Objective Measuresmentioning

confidence: 99%

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Information hiding in proposed 10.6 kbps CS-ACELP based speech codec using Quantization Index Modulation

Tahilramani

Bhatt

2021

Int J Speech Technol

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This paper aims to propose information hiding with the variant like steganography and watermarking in proposed 10.6 kbps Conjugate Structure-Algebraic Code Excited Linear Prediction (CS-ACELP) speech codec. Proposed work makes use of Dither Modulation-Quantization Index Modulation technique to incorporate steganography or watermarking for information hiding in the excitation codebook code vector of proposed 10.6 kbps CS-ACELP based speech codec. Codebook partition and label assignment approach is explored in proposed coder in order to create room of 10 bits per frame for steganographic data transmission. Joint source coding and data hiding approach is adopted for steganographic or watermarked data transmission. Performance of the proposed approach is evaluated with different objective and subjective parameters in terms of tables and graphs. Information hiding capacity is demonstrated with different parameters like the watermark to signal ratio, hiding capacity and embedding capacity in terms of percentage. Moreover, the results of subjective and objective parameters of the proposed algorithm are analysed by computing population mean of 99% confidence interval to prove the consistency of it.

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Section: Excitation Sequence Generation In Conjugate Structure-algebraic Code Excited Linear Prediction Based Speech Codecmentioning

confidence: 99%

Section: Subjective and Objective Measuresmentioning

confidence: 99%

Section: Subjective Measuresmentioning

confidence: 99%