This paper advances the hypothesis that, using modern voice mapping tools, both AI and AAC voices exhibit significant signs of voice disorder, which in turn will further exacerbate human speech disorders over time.This paper argues that AI synthetic voices possess significant inherent vocal disorders that could have long-term consequences on the health of human voices.

This paper advances the hypothesis that, using modern voice mapping tools, both artificial intelligence (AI) and human Augmentative and Alternative Communication (AAC) voices exhibit significant signs of voice disorder, that in turn this disorder will further exacerbate human speech disorders over time.

Through voice mapping with FonaDyn and spectrogram analysis, we will present the presence of vocal disorders in AAC users’ voices and AI voices.

By comparing the two data sets, we will demonstrate that we have found greater levels of disorder in humans’ AAC voices than artificial voices of AI. We expect, even as the field of AI continues to advance in funding and capacity, to see greater levels of voice disorder in humans due to empathetic mirroring in humans, increased use of AI in communication systems (ChaptGPT, avators, etc) and in education (in models such as Texas’s Alpha School, education systems that are entirely driven by AI with no human teacher input), and due to large scale factors such as climate change and air quality that further impact human health, respiration, and vocalism.

We have mapped AI and AAC voices over the past year and noticed significant advances in the technology for AI, yet we continue to observe AI's tendency towards vocal disorder.

Given that empathetic mirroring in humans includes vocalism, tone, and inflection, this paper hypothesizes that the vocal disorder exhibited by AI voice will in term contribute to growing levels of vocal disorder in humans’ speaking and singing voices. Where education and communication systems may evoke advanced autonomy and connection, will these AI systems also contribute to growing misuse of the human voice over time? Will growing voice disorder in turn dissuade us from pursuing improvements of AAC devices and systems used by people with disabilities?

This paper posits that the widespread use of AI synthetic voice will create a pervasive ecosystem of disordered vocalism that could have long-term consequences on its human counterparts.