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Compressive speech enhancement

Speech Communication, 2013
This paper presents an alternative approach to speech enhancement by using compressed sensing (CS). CS is a new sampling theory, which states that sparse signals can be reconstructed from far fewer measurements than the Nyquist sampling. As such, CS can be exploited to reconstruct only the sparse components (e.g., speech) from the mixture of sparse and
Low, S., Pham, DucSon, Venkatesh, S.
openaire   +3 more sources

MP3 Compression To Diminish Adversarial Noise in End-to-End Speech Recognition

International Conference on Speech and Computer, 2020
Audio Adversarial Examples (AAE) represent purposefully designed inputs meant to trick Automatic Speech Recognition (ASR) systems into misclassification. The present work proposes MP3 compression as a means to decrease the impact of Adversarial Noise (AN)
I. Andronic   +4 more
semanticscholar   +1 more source

Stimulus Parameters in Speech Compression

Journal of Communication, 1968
A total of 36 stimulus tapes were prepared by the conjoint manipulation of three parameters potentially critical in their control of compression effects. These parameters were: (1) talker rate, manipulated through the limits attainable by a trained speaker; (2) selective pause compression at three values, 100, 50, and 0% deletions and (3) random ...
M S, Miron, E R, Brown
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Speech Recognition Model Compression

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Deep Neural Network-based speech recognition systems are widely used in most speech processing applications. To achieve better model robustness and accuracy, these networks are constructed with millions of parameters, making them storage and compute-intensive. In this paper, we propose Bin & Quant (B&Q), a compression technique using which we were able
Madhumitha Sakthi   +2 more
openaire   +1 more source

Comparing speech compression using wavelets with other speech compression schemes

Proceedings. Student Conference on Research and Development, 2003. SCORED 2003., 2005
Speech compression is one area of digital signal processing that focuses on reducing the bit rate of the speech signal for transmission or storage without significant loss of quality. In recent years a new technique called wavelet transform has been proposed for signal analysis. It has been successfully used in image compression application.
A.M.M.A. Najih   +3 more
openaire   +1 more source

Multimedia speech compression techniques

2010 3rd International Conference on Computer Science and Information Technology, 2010
The past decade has witnessed substantial progress towards the application of low-rate speech coders to civilian and military communications as well as computer-related voice applications. Central to this progress has been the development of new speech coders capable of producing high-quality speech at low data rates.
Hussein M. Magboub   +3 more
openaire   +1 more source

Speech Compression

The Journal of the Acoustical Society of America, 1956
One can distinguish between physical compression when only the physical characteristics of the speech oscillations are used, and linguistic compression if, beyond that, rules are used which are found by linguistic investigation. We shall consider here only the physical methods. They can be divided into two groups.
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Sampled speech compression system

The Journal of the Acoustical Society of America, 1985
A sampled speech compression and expansion system, for two-dimensional prssing of speech or other type of audio signal, comprises transmit/encode apparatus and receive/decode apparatus. The transmit/encode apparatus comprises a low-pass filter, adapted to receive an input signal, for passing through low-frequency analog signals.
James M. Alsup, Harper J. Whitehouse
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Speech compression

Proceedings of the 20th annual Southeast regional conference on - ACM-SE 20, 1982
This paper presents research undertaken in the field of speech compression with a low cost speech processing system developed around an APPLE II microcomputer. Unlike some of the more popular techniques of speech compression based on statistical analysis of the speech waveforms in the frequency domain, speech compression was approached by the authors ...
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Two-dimensional speech compression

ICASSP '78. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
The application of recent video data compression techniques to speech data is described. In order to effectively apply these techniques, the speech data should be segmented so as to achieve a high degree of correlation between corresponding samples in adjacent speech segments, allowing the formation of a two-dimensional speech "raster" with significant
J. Alsup, H. Whitehouse
openaire   +1 more source

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