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Should Your AI Voice Sound Human

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Manage episode 478533148 series 3660582
Content provided by Dave. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dave or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

"Just ask Dave send him a text"

Should Your AI Sound Human—or Like Itself?

Welcome to AI Voice Bot, the podcast where we explore the ever-evolving world of voice technology, hosted by voice tech expert Dave, with over 20 years of industry experience.

In this episode, Dave dives into a hot topic in the voice AI space: How human should your AI sound?

🧠 Key Insight:
73% of people can’t reliably tell the difference between a human and AI voice anymore—and that’s reshaping how businesses think about their brand voice and trust.

🔍 What’s Covered:

  • Companies are now spending $2.3 million on average developing voice AI.
  • There's a wide spectrum of AI voices, from regional accents to emotionally adaptive tones.
  • Empathetic voices can reduce customer frustration by up to 60%, but going too human-like can backfire—with trust dropping by 45% if users feel misled.
  • In finance, voice cloning real advisors boosts engagement—but it raises ethical concerns.

📊 Voice Design Matters:

  • Emotional design and consistency can boost satisfaction by 28%.
  • Context is critical:
    Warm tones reduce customer escalations
    Authoritative voices boost trust in technical support
  • Cultural sensitivity and accessibility drive 35–50% increases in trust and satisfaction.

🚀 Looking Ahead:

  • By 2027, 85% of customer interactions will involve voice AI.
  • Authenticity beats realism—success rates are 3x higher when companies design for trust, not mimicry.
  • Companies embracing transparency and intentional voice design see up to 70% more engagement and 45% higher satisfaction.

💡 Takeaway:
The future isn’t about making bots sound exactly like us—it’s about creating trustworthy, effective, emotionally intelligent voice experiences tailored to different contexts and users.

👉 If this episode resonated with you, be sure to follow, rate, or share the AI Voice Bot Podcast. Have a question for Dave? Just ask—he’s always ready to explore what’s next in voice tech.

📣 Get in Touch

Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect.

  continue reading

25 episodes

Artwork
iconShare
 
Manage episode 478533148 series 3660582
Content provided by Dave. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dave or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

"Just ask Dave send him a text"

Should Your AI Sound Human—or Like Itself?

Welcome to AI Voice Bot, the podcast where we explore the ever-evolving world of voice technology, hosted by voice tech expert Dave, with over 20 years of industry experience.

In this episode, Dave dives into a hot topic in the voice AI space: How human should your AI sound?

🧠 Key Insight:
73% of people can’t reliably tell the difference between a human and AI voice anymore—and that’s reshaping how businesses think about their brand voice and trust.

🔍 What’s Covered:

  • Companies are now spending $2.3 million on average developing voice AI.
  • There's a wide spectrum of AI voices, from regional accents to emotionally adaptive tones.
  • Empathetic voices can reduce customer frustration by up to 60%, but going too human-like can backfire—with trust dropping by 45% if users feel misled.
  • In finance, voice cloning real advisors boosts engagement—but it raises ethical concerns.

📊 Voice Design Matters:

  • Emotional design and consistency can boost satisfaction by 28%.
  • Context is critical:
    Warm tones reduce customer escalations
    Authoritative voices boost trust in technical support
  • Cultural sensitivity and accessibility drive 35–50% increases in trust and satisfaction.

🚀 Looking Ahead:

  • By 2027, 85% of customer interactions will involve voice AI.
  • Authenticity beats realism—success rates are 3x higher when companies design for trust, not mimicry.
  • Companies embracing transparency and intentional voice design see up to 70% more engagement and 45% higher satisfaction.

💡 Takeaway:
The future isn’t about making bots sound exactly like us—it’s about creating trustworthy, effective, emotionally intelligent voice experiences tailored to different contexts and users.

👉 If this episode resonated with you, be sure to follow, rate, or share the AI Voice Bot Podcast. Have a question for Dave? Just ask—he’s always ready to explore what’s next in voice tech.

📣 Get in Touch

Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect.

  continue reading

25 episodes

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