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Hearing one's own voice enhances explicit agency retrospectively, whereas implicit agency relies on sensorimotor comparison. [PDF]
iScienceOhata R, Uehigashi Y, Imamizu H.
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Speech Compression by Polynomial Approximation
IEEE Transactions on Audio Speech and Language Processing, 2007Methods for speech compression aim at reducing the transmission bit rate while preserving the quality and intelligibility of speech. These objectives are antipodal in nature since higher compression presupposes preserving less information about the original speech signal.
Sorin Dusan +3 more
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Temporal Compression Of Speech: An Evaluation
IEEE Transactions on Audio Speech and Language Processing, 2008Efficient 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 ...
Steve Whittaker, Simon Tucker
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Advances in speech and audio compression
Proceedings of the IEEE, 1994Speech 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
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Compressive speech enhancement
Speech Communication, 2013This 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
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Speech Recognition Model Compression
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020Deep 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
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Speech compression by speech recognition
The Journal of the Acoustical Society of America, 2000A 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
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Speech compression with wavelet packets
1998 IEEE International Conference on Electronics, Circuits and Systems. Surfing the Waves of Science and Technology (Cat. No.98EX196), 2002Coefficient 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
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Stimulus Parameters in Speech Compression
Journal of Communication, 1968A 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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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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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.
openaire +1 more source