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Advances in speech and audio compression

Proceedings of the IEEE, 1994
Speech and audio compression has advanced rapidly in recent years spurred on by cost-effective digital technology and diverse commercial applications. Recent activity in speech compression is dominated by research and development of a family of techniques commonly described as code-excited linear prediction (CELP) coding.
A Gersho
exaly   +2 more sources

Temporal Compression Of Speech: An Evaluation

IEEE Transactions on Audio Speech and Language Processing, 2008
Efficient browsing of speech recordings is problematic. The linear nature of speech, coupled with the lack of abstraction that the medium affords, means that listeners have to listen to long segments of a recording to locate points of interest. We explore temporal compression algorithms that attempt to reduce the amount of time users require to listen ...
Simon Tucker, Steve Whittaker
exaly   +2 more sources

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
Siow Yong Low   +2 more
openaire   +3 more sources

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

Speech compression by speech recognition

The Journal of the Acoustical Society of America, 2000
A method of transmitting speech signals with reduced bandwith requirements. With this invention an original speech signal is first converted to a textual representation, and a facsimile of the original speech is determined from the textual representation.
David Frederick Bantz   +1 more
openaire   +1 more source

Speech compression with wavelet packets

1998 IEEE International Conference on Electronics, Circuits and Systems. Surfing the Waves of Science and Technology (Cat. No.98EX196), 2002
Coefficient decomposition in an orthogonal basis performs a decorrelation that can be applied to reduce the information needed to transmit the highly correlated samples that characterize signals in the time domain. Moreover, by changing the orthonormal basis, the number of coefficients that support this information can be minimized.
Raquel Gómez-Sánchez   +2 more
openaire   +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
openaire   +2 more sources

Reversible Watermarking for Compressed Speech

2008 Eighth International Conference on Intelligent Systems Design and Applications, 2008
Reversible watermarking for compressed speech is proposed. Two properties of parameter-based speech coding bitstream are pointed out. Based on the properties, unimportant parameters are further compressed by entropy coding and concatenated with the watermark payload.
Mingyu Li, Yuhua Jiao, Xiamu Niu
openaire   +1 more source

Distributed steganalysis of compressed speech

Soft Computing, 2015
In this paper, we present a distributed steganalysis scheme for compressed speech in voice-over-IP scenarios to provide fast and precise detection results. In this scheme, each speech parameter available for concealing information is designed to be detected independently exploiting the corresponding optimal detection feature.
Hui Tian 0002   +7 more
openaire   +1 more source

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
James M. Alsup, Harper J. Whitehouse
openaire   +1 more source

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