linear predictive coding - meaning and definition. What is linear predictive coding
Diclib.com
ChatGPT AI Dictionary
Enter a word or phrase in any language 👆
Language:

Translation and analysis of words by ChatGPT artificial intelligence

On this page you can get a detailed analysis of a word or phrase, produced by the best artificial intelligence technology to date:

  • how the word is used
  • frequency of use
  • it is used more often in oral or written speech
  • word translation options
  • usage examples (several phrases with translation)
  • etymology

What (who) is linear predictive coding - definition


Linear predictive coding         
SPEECH ANALYSIS AND ENCODING TECHNIQUE
Linear predictive coder; Linear prediction coder; Linear prediction coding
Linear predictive coding (LPC) is a method used mostly in audio signal processing and speech processing for representing the spectral envelope of a digital signal of speech in compressed form, using the information of a linear predictive model.
Warped linear predictive coding         
LINEAR PREDICTIVE CODING
Warped LPC; Warped Linear Prediction; Warped Linear Predictive Coding
Warped linear predictive coding (warped LPC or WLPC) is a variant of linear predictive coding in which the spectral representation of the system is modified, for example by replacing the unit delays used in an LPC implementation with first-order all-pass filters. This can have advantages in reducing the bitrate required for a given level of perceived audio quality/intelligibility, especially in wideband audio coding.
Predictive analytics         
A VARIETY OF STATISTICAL TECHNIQUES FROM DATA MINING, PREDICTIVE MODELLING, AND MACHINE LEARNING, THAT ANALYZE CURRENT AND HISTORICAL FACTS TO MAKE PREDICTIONS ABOUT FUTURE OR OTHERWISE UNKNOWN EVENTS
Predictive Analysis; Predictive classification; Predictive Analytics Software; Business Intelligence software; Predictive Analytics; Predictive Intelligence; Applications of predictive analytics
Predictive analytics encompasses a variety of statistical techniques from data mining, predictive modeling, and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events.