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Decoding has both verbal and non-verbal forms of communication: Decoding behavior without using words, such as displays of non-verbal communication. There are many examples, including observing body language and its associated emotions, e.g. monitoring signs when someone is upset, angry, or stressed where they use excessive hand/arm movements ...
Speech coding is an application of data compression to digital audio signals containing speech.Speech coding uses speech-specific parameter estimation using audio signal processing techniques to model the speech signal, combined with generic data compression algorithms to represent the resulting modeled parameters in a compact bitstream.
Early 1970s vocoder, custom-built for electronic music band Kraftwerk. A vocoder (/ ˈ v oʊ k oʊ d ər /, a portmanteau of voice and encoder) is a category of speech coding that analyzes and synthesizes the human voice signal for audio data compression, multiplexing, voice encryption or voice transformation.
Many models of communication include the idea that a sender encodes a message and uses a channel to transmit it to a receiver. Noise may distort the message along the way. The receiver then decodes the message and gives some form of feedback. [1] Models of communication simplify or represent the process of communication.
Barnlund's model of interpersonal communication. The orange circles represent the communicators. The other colored areas symbolize different types of cues. Communication takes place by decoding cues (orange arrows) and encoding behavioral responses (yellow arrows). Barnlund's model is an influential transactional model of communication. It was ...
2. The multiplicity of speech codes (Multiple speech codes exist in any given speech community.) People are affected all the time by other speech codes and may even be involved with multiple codes at the same time. 3. The substance of speech codes (A speech code has a distinctive psychology, sociology and rhetoric.) Psychology.
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. [1] [2] LPC is the most widely used method in speech coding and speech synthesis.
Code-excited linear prediction (CELP) is a linear predictive speech coding algorithm originally proposed by Manfred R. Schroeder and Bishnu S. Atal in 1985. At the time, it provided significantly better quality than existing low bit-rate algorithms, such as residual-excited linear prediction (RELP) and linear predictive coding (LPC) vocoders (e.g., FS-1015).