Az MI által generált beszéd jellemzői

Success in life is not primarily attributed to cognitive skills. Rather, it is the level of development in social skills that creates real connections, forms relationships, and keeps attention engaged. There are a few human abilities that, for the time being, can still compete with artificial intelligence: our capacity for critical thinking, and our intelligence for dealing with human emotions and relationships. Machines are better at active attention, as they are able to pay attention continuously, without interruption. In our attention-deficient society, this is a fact of prime importance. Speech generated by AI can vocalize written text and segment it according to punctuation marks, but it has not yet mastered the vocal exploration of deeper interpretive connections. Will it be capable of doing so in the future? Let’s examine the vocal characteristics of human speech and draw parallels with the opportunities offered by AI-generated speech synthesis applications! With the advancement of human robots, personal and technological developments will make speech modulations, the creation of individual tone, and the feeding of memories a part of the algorithm in the near future.

Authors

Publication Details

Journal
Symbolon
Published
2024-11-07
DOI
https://doi.org/10.46522/s.2024.02.6
Primary Topic
Hungarian Social, Economic and Educational Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Az MI által generált beszéd jellemzői

Júlia Gyéresi
Symbolon
Hungarian Social, Economic and Educational Studies
article

Az MI által generált beszéd jellemzői

Júlia Gyéresi
article en

Abstract

Success in life is not primarily attributed to cognitive skills. Rather, it is the level of development in social skills that creates real connections, forms relationships, and keeps attention engaged. There are a few human abilities that, for the time being, can still compete with artificial intelligence: our capacity for critical thinking, and our intelligence for dealing with human emotions and relationships. Machines are better at active attention, as they are able to pay attention continuously, without interruption. In our attention-deficient society, this is a fact of prime importance. Speech generated by AI can vocalize written text and segment it according to punctuation marks, but it has not yet mastered the vocal exploration of deeper interpretive connections. Will it be capable of doing so in the future? Let’s examine the vocal characteristics of human speech and draw parallels with the opportunities offered by AI-generated speech synthesis applications! With the advancement of human robots, personal and technological developments will make speech modulations, the creation of individual tone, and the feeding of memories a part of the algorithm in the near future.

SymbolonVol. 25(2 (47))
Quality Education
Openalex Percentile: Top 68%
Hungarian Social, Economic and Educational Studies
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