Transform coding of audio signals using perceptual noise criteria

Johnston, James D.

doi:10.1109/49.608

Cited by 663 publications

(327 citation statements)

References 9 publications

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“…The next line shows the results for scaling coefficients calculated using (17). With this method, the overall SIR has been be boosted by over 11dB.…”

Section: Simulationsmentioning

confidence: 96%

“…Compared to the original solution based on the minimal distortion principle, this approach still enhances the overall SIR but the coloration is not as strong as with the coefficients from (17). The coefficients c(ω k ) =S(ω k ) are shown in Fig.…”

Section: B Calculation Of Scaling Factorsmentioning

confidence: 99%

“…for the overall system G(n) = H(n) * W (n) consisting of the mixing and unmixing system will be used [16], [17]. A higher SIR means better separation and a higher SFM means less linear distortion of the separated signals.…”

Section: Simulationsmentioning

confidence: 99%

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On separation performance enhancement in convolutive blind source separation

Mazur

Mertins

2008

2008 42nd Asilomar Conference on Signals, Systems and Computers

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Abstract-In this paper we present a method for estimating the bin-wise separation performance in convolutive blind source separation. A common way to separate convolutive mixtures is the transformation to the time-frequency domain and the separation of the single bins using an instantaneous ICA algorithm. This approach reduces the complexity but leads to the so-called permutation problem which has been widely studied. Another problem arises when the single bins are only poorly separable or even not separable at all. These bins can significantly reduce the overall performance. In this paper we propose a method for detecting such bins based on properties of the unmixing matrices.

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“…The next line shows the results for scaling coefficients calculated using (17). With this method, the overall SIR has been be boosted by over 11dB.…”

Section: Simulationsmentioning

confidence: 96%

Section: B Calculation Of Scaling Factorsmentioning

confidence: 99%

See 1 more Smart Citation

On separation performance enhancement in convolutive blind source separation

Mazur

Mertins

2008

2008 42nd Asilomar Conference on Signals, Systems and Computers

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“…[16,17,18,19] The job of the psychoacoustic model is to analyze the input audio signal and determine where in the spectrum quantization noise will be masked and to what extent. The encoder uses this information to decide how best to represent the input audio signal with its limited number of code bits.…”

Section: The Psychoacoustic Modelmentioning

confidence: 99%

Digital Audio Compression

Mandal

2003

Multimedia Signals and Systems

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Compared to most digital data types, with the exception of digital video, the data rates associated with uncompressed digital audio are substantial. Digital audio compression enables more efficient storage and transmission of audio data. The many forms of audio compression techniques offer a range of encoder and decoder complexity, compressed audio quality, and differing amounts of data compression. The -law transformation and ADPCM coder are simple approaches with low-complexity, low-compression, and medium audio quality algorithms. The MPEG/audio standard is a high-complexity, highcompression, and high audio quality algorithm. These techniques apply to general audio signals and are not specifically tuned for speech signals.

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“…Less exacting models may still be employed to produce high quality output. Viable alternatives include the Johnston model [65] and the MPEG-l psychoacoustic model l [83].…”

Section: Reduction Of Computational Complexitymentioning

confidence: 99%