Multilayered Model of Speech

TL;DR

This paper proposes a multilayered model of speech to better understand human brain functions and improve approaches to creating General Artificial Intelligence, emphasizing the brain's varied information processing abilities.

Contribution

It introduces a novel multilayered speech model that accounts for individual differences in brain processing, challenging existing AI development methods.

Findings

Highlights the importance of layered speech processing in brain simulation

Suggests modifications to current AI approaches based on brain variability

Provides a new framework for understanding human speech and cognition

Abstract

Human speech is the most important part of General Artificial Intelligence and subject of much research. The hypothesis proposed in this article provides explanation of difficulties that modern science tackles in the field of human brain simulation. The hypothesis is based on the author's conviction that the brain of any given person has different ability to process and store information. Therefore, the approaches that are currently used to create General Artificial Intelligence have to be altered.