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Note: This episode was recorded when this show was known as Human Internet Theory.
In this episode of Human Internet Theory, I explore the science behind why a human voice connects with listeners in a way an AI voice cannot. Recent brain scan studies show that our brains work harder and remember more when listening to a human speak vs an AI voice. I break down what this means for you as a small business owner, marketer, or digital educator and how you can use this knowledge to make your instructional content more effective.
I go over the core components of vocal expression, including speech rate, cadence, prosody, and intonation. Understanding these elements is the first step to controlling them and creating a delivery that feels authentic and engaging. I share some history from composer R. Murray Schafer, whose work on "soundscapes" changed how I perceive the voice as a musical instrument.
You'll get a checklist you can use to analyze your own recordings and identify areas for improvement. I also walk you through three specific exercises for pace control, rhythm, and pitch variation. These drills are designed to help you add more variety to your delivery, hold your audience's attention, and build a stronger connection with every episode you produce.
Resources Mentioned:
==========================
Written, edited, and hosted by Jen deHaan.
Contact Jen at https://jendehaan.com
SupportYour support will help this show continue. Funds will go towards hosting and music licensing for this show and others. This show is produced by an independent HUMAN artist directly affected by the state of the industry.
Support the ShowHost: Jen deHaan has a background of almost 30 years in tech, education, & instructional design and 10 years in improv and performance.
Jen's website: https://jendehaan.com
Made and produced by Jen deHaan in British Columbia, Canada.
Mentioned in this episode:
Podcast Performance Lab
This episode was released prior to the rebranding of this podcast. It was known as Human Internet Theory and is now known as Podcast Performance Lab.
By Jen deHaanNote: This episode was recorded when this show was known as Human Internet Theory.
In this episode of Human Internet Theory, I explore the science behind why a human voice connects with listeners in a way an AI voice cannot. Recent brain scan studies show that our brains work harder and remember more when listening to a human speak vs an AI voice. I break down what this means for you as a small business owner, marketer, or digital educator and how you can use this knowledge to make your instructional content more effective.
I go over the core components of vocal expression, including speech rate, cadence, prosody, and intonation. Understanding these elements is the first step to controlling them and creating a delivery that feels authentic and engaging. I share some history from composer R. Murray Schafer, whose work on "soundscapes" changed how I perceive the voice as a musical instrument.
You'll get a checklist you can use to analyze your own recordings and identify areas for improvement. I also walk you through three specific exercises for pace control, rhythm, and pitch variation. These drills are designed to help you add more variety to your delivery, hold your audience's attention, and build a stronger connection with every episode you produce.
Resources Mentioned:
==========================
Written, edited, and hosted by Jen deHaan.
Contact Jen at https://jendehaan.com
SupportYour support will help this show continue. Funds will go towards hosting and music licensing for this show and others. This show is produced by an independent HUMAN artist directly affected by the state of the industry.
Support the ShowHost: Jen deHaan has a background of almost 30 years in tech, education, & instructional design and 10 years in improv and performance.
Jen's website: https://jendehaan.com
Made and produced by Jen deHaan in British Columbia, Canada.
Mentioned in this episode:
Podcast Performance Lab
This episode was released prior to the rebranding of this podcast. It was known as Human Internet Theory and is now known as Podcast Performance Lab.