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SPEECH CODING WITH LINEAR PREDICTIVE CODING
Mechanical and Electronics Engineering, 2009Speech coding has been and still is a major issue in the area of digital speech processing in which speech compression is needed for storing digital voice and it requires fixed amount of available memory and compression makes it possible to store longer messages.
G. CHENCHAMMA +2 more
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IEEE Potentials, 1988
The basic principles of linear predictive coding (LPC) are presented. Least-squares methods for obtaining the LPC coefficients characterizing the all-pole filter are described. Computational factors, instantaneous updating, and spectral estimation are discussed. >
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The basic principles of linear predictive coding (LPC) are presented. Least-squares methods for obtaining the LPC coefficients characterizing the all-pole filter are described. Computational factors, instantaneous updating, and spectral estimation are discussed. >
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1984
If one approximates the vocal tract as a series of fixed length tubes (which is equivalent to representing it as an all-pole digital filter) it becomes possible to predict successive samples of the speech wave as linear combinations of previous samples. The coefficients in the linear combination characterize the shape of the vocal tract.
Alan Bundy, Lincoln Wallen
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If one approximates the vocal tract as a series of fixed length tubes (which is equivalent to representing it as an all-pole digital filter) it becomes possible to predict successive samples of the speech wave as linear combinations of previous samples. The coefficients in the linear combination characterize the shape of the vocal tract.
Alan Bundy, Lincoln Wallen
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2009
For typical images, the values of adjacent pixels are highly correlated; that is, a great deal of information about a pixel value can be obtained by inspecting its neighboring pixel values. This property is exploited in predictive coding techniques where an attempt is made to predict the value of a given pixel based on the values of the surrounding ...
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For typical images, the values of adjacent pixels are highly correlated; that is, a great deal of information about a pixel value can be obtained by inspecting its neighboring pixel values. This property is exploited in predictive coding techniques where an attempt is made to predict the value of a given pixel based on the values of the surrounding ...
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Predictive coding: Neuroscience and art
2020This paper examines the applicability of predictive coding as an explanatory model for perception. This is carried out from two perspectives. First, the central assumptions of the model are re-examined in light of the neuroscientific evidence for the structure and functioning of key brain areas involved in perception. The inferential processes involved
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Neuronal Dynamics of Predictive Coding
The Neuroscientist, 2001A critical task of the central nervous system is to learn causal relationships between stimuli to anticipate events in the future, such as the position of a moving prey or predator. What are the neuronal phenomena underlying anticipation? In this article, I review recent results in hippocampal electrophysiology that shed light on this issue.
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2009
In a general predictive coding scheme, the correlation between the neighboring pixel values is used to form a prediction for each pixel. By far, the most common approach to predictive coding is differential pulse code modulation (DPCM). In DPCM, the prediction is subtracted from the actual pixel value to form a differential image that is much less ...
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In a general predictive coding scheme, the correlation between the neighboring pixel values is used to form a prediction for each pixel. By far, the most common approach to predictive coding is differential pulse code modulation (DPCM). In DPCM, the prediction is subtracted from the actual pixel value to form a differential image that is much less ...
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