Digital communications: fundamentals and applications
Digital communications: fundamentals and applications
Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Robust audio watermarking using perceptual masking
Signal Processing
Techniques for the regeneration of wideband speech from narrowband speech
EURASIP Journal on Applied Signal Processing - Nonlinear signal and image processing - part I
Digital Speech; Coding for Low Bit Rate Communication Systems
Digital Speech; Coding for Low Bit Rate Communication Systems
On artificial bandwidth extension of telephone speech
Signal Processing - Special section: Hans Wilhelm Schüßler celebrates his 75th birthday
A 14 kb/s wideband speech coder with a parametric highband model
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
An embedded adaptive multi-rate wideband speech coder
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
Spread spectrum signaling for speech watermarking
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Scalar Costa scheme for information embedding
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
Bandwidth extension of speech signals: a catalyst for the introduction of wideband speech coding?
IEEE Communications Magazine
Speech watermarking for analog flat-fading bandpass channels
IEEE Transactions on Audio, Speech, and Language Processing
An overview of digital speech watermarking
International Journal of Speech Technology
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A system for bandwidth extension of telephone speech, aided by data embedding, is presented. The proposed system uses the transmitted analog narrowband speech signal as a carrier of the side information needed to carry out the bandwidth extension. The upper band of the wideband speech is reconstructed at the receiving end from two components: a synthetic wideband excitation signal, generated from the narrowband telephone speech and a wideband spectral envelope, parametrically represented and transmitted as embedded data in the telephone speech. We propose a novel data embedding scheme, in which the scalar Costa scheme is combined with an auditory masking model allowing high rate transparent embedding, while maintaining a low bit error rate. The signal is transformed to the frequency domain via the discrete Hartley transform (DHT) and is partitioned into subbands. Data is embedded in an adaptively chosen subset of subbands by modifying the DHT coefficients. In our simulations, high quality wideband speech was obtained from speech transmitted over a telephone line (characterized by spectral magnitude distortion, dispersion, and noise), in which side information data is transparently embedded at the rate of 600 information bits/second and with a bit error rate of approximately 3 ċ 10-4. In a listening test, the reconstructed wideband speech was preferred (at different degrees) over conventional telephone speech in 92.5% of the test utterances.