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Spoken (also known as Spoken - Tap to Talk AAC and Spoken AAC) is a mobile application and augmentative and alternative communication (AAC) tool launched in 2019. [3] The app was designed to aid individuals with speech and language impairments like aphasia or nonverbal autism, using a combination of symbols, text, and voice output.
Speech codes theory is concerned about observing communication conduct through noticing, describing, interpreting and explaining the findings. The second is that speech codes present, "a way to interpret or explain observed communicative conduct by reference to situated codes of meaning and value."
Taking the communication perspective confers something like "communication literacy"—the ability to inscribe and read the complex process of communication in real-time. Among other things, CMM's concepts and models guide practitioners in helping clients become aware of the patterns of communication which make up aspects of the social world.
Human communication can be defined as any Shared Symbolic Interaction. [6]Shared, because each communication process also requires a system of signification (the Code) as its necessary condition, and if the encoding is not known to all those who are involved in the communication process, there is no understanding and therefore fails the same notification.
Turn-taking is a type of organization in conversation and discourse where participants speak one at a time in alternating turns. In practice, it involves processes for constructing contributions, responding to previous comments, and transitioning to a different speaker, using a variety of linguistic and non-linguistic cues.
Another contrast is between linear and non-linear models. Most early models of communication are linear models. They present communication as a unidirectional process in which messages flow from the communicator to the audience. Non-linear models, on the other hand, are multi-directional: messages are sent back and forth between participants.
The Switchboard Telephone Speech Corpus is a corpus of spoken English language consisted of almost 260 hours of speech. It was created in 1990 by Texas Instruments via a DARPA grant, and released in 1992 by NIST. The corpus contains 2,400 telephone conversations among 543 US speakers (302 male, 241 female).
The time between hearing the speech and responding, is how long the brain takes to process and produce speech. The task instructs participants to shadow speech, which generates intent to reproduce the phrase while motor regions in the brain unconsciously process the syntax and semantics of the words spoken. [2]