Voice AI Customization 101: Settings That Work Best

Written by:

Reviewed by: Regal Product Team

Published

Jul 11, 2025

•

Last updated

Mar 17, 2026

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5 min read

The tone, pace, and delivery of your AI Voice Agent directly impacts whether a contact stays on the line, engages, or opts out.

With Regal, voice configuration is a core performance lever, on par with script optimization and routing logic.

This article breaks down what voice customization actually is, what it involves, and how different traits affect outcomes. Whether you're optimizing for conversion, retention, or simply sounding more human, this guide will show you what to adjust and why.

What “Voice Customization” Actually Means

Voice customization in Regal is a structured configuration process, designed to give you precise control over how AI Voice Agents sound and perform. From initial design, through testing and long-term optimization.

This is done using individual toggles for each setting within our Voice AI Agent builder.

While Regal Voice AI Agents come with smart defaults, every parameter can be adjusted and tested at whatever level needed (and as much as needed) to perfect each use case.

We’ll take a look at each setting below and cover:

Available setting ranges
What the extremes feel like
Most common production settings and why
‍

Regal’s Voice AI Settings

Voice Speed

Voice speed controls how fast the agent speaks. Regal supports a wide range, from 0.5 (very slow) to 2.0 (very fast). Most teams stay within the middle or moderate range (1.0-1.18) to ensure the agent sounds natural and human.

Total Available Range: 0.50–2.00

Regal Default Setting: Varies depending on agent type.

Understanding the Ranges

Slow (<1.00): Deliberate and steady. Slower speech can help improve clarity for older demographics or high-stakes conversations, but may feel sluggish for general audiences.

Slower speech can also lead to increased call duration, and therefore increased cost (at scale).

Here's an AI Agent with a voice speed setting of 0.70:

Moderate (1.00–1.18): Natural and conversational. The sweet spot for most call types. Keeps calls human-sounding and efficient. Fast enough to maintain energy, slow enough to avoid sounding robotic.

Here's an agent with the most common overall voice speed setting in Regal (1.08):

Fast (1.18+): Brisk and efficient. Great for transactional flows where speed is key (and less emotion/patience is required), or longer conversations that can run higher costs at scale. Think, collections calls, confirmations, or inbound lead capture.

This agent has a very high speed setting of 1.50:

Faster cadence (within reasonable limits) reduces dead air and shortens average handle time, which can increase throughput and lower per-call cost, but runs the risk of sounding rushed or robotic.

Voice Temperature

Voice temperature controls the variation of voice tone and expressiveness on calls. It's a subtle but powerful setting that affects emotional variability and perceived warmth/empathy.

Warmer tones (higher temperature), for example, help agents sound more human and empathetic, which is valuable in high-trust environments like healthcare, financial services, insurance, etc.

Total Available Range: 0.00–2.00

Regal Default Setting: Varies depending on agent type.

Understanding the Ranges

Low (<1.00): Consistent and flat. Best for use cases where precision and predictability matter (IVR flows, compliance language, legal disclaimers). Limits variation in tone, which can make the agent sound more robotic but reduces risk of misinterpretation.

An agent with a temperature setting of 0.50, for example, might sound something like:

Moderate (1.00–1.25): Balanced and professional. The ideal default for most calls. Adds just enough emotional variance to sound natural and expressive without losing clarity or control.

An example of the most commonly used temperature setting in Regal (1.10):

High (1.25+): Expressive and animated. Can be useful for open-ended support or conversational sales calls where emotional range builds trust. But risks sounding exaggerated or inconsistent, especially if your prompt includes strict scripting.

A max setting of 2.00 might sound like this:

Volume

Volume is straightforward, but can be important depending on the audience, their device, and their surrounding environment.

Most Regal users (86%) keep this setting at the default (1.00)

Available Range: 0.00–2.00

Default Setting: 1.00

Understanding the Ranges

Quieter (<1.00): Useful for calls that benefit from a softer tone, like when you know the caller will be in a quieter/private environment.

Moderate (1.00–1.50): Best for most use cases. Balanced, clear, and easy to understand across a range of devices and backgrounds.

Louder (1.50+): More assertive and bold. Can help in noisy environments, mobile-heavy audiences, or when the caller may be hard of hearing.

Responsiveness

This controls how quickly the agent starts speaking after the customer finishes. Lower values create longer pauses; higher values make the agent respond almost immediately.

For most users, this setting is on the higher end of the scale so conversations are well-paced and feel natural (especially combined with moderate-high interruption sensitivity).

Voice speed is used much more commonly as a control over call times.

Available Range: 0.00–1.00

Default Setting: 1.00

Understanding the Ranges

Less Responsive (<0.80): Patient and considerate. Ideal for older or slower-speaking audiences (for example, paired with certain accents or languages to match natural style). Helps prevent the AI from speaking over the customer, but may make the agent feel less dynamic to general audiences.

Listen to the amount of time it takes to respond when the setting is set to 0.50:

More Responsive (0.80+): Sharp and well-paced. Feels more real-time and efficient, while remaining natural-sounding. Can make the agent feel more “live,” but may occasionally interrupt slow speakers.

An agent set to 1.00 responsiveness would sound like:

Interruption Sensitivity

Interruption sensitivity determines how easily the agent detects and stops when a customer tries to interrupt it mid-sentence.

Most Regal users (88%) stick with the default setting (0.80).

Available Range: 0.00–1.00

Default Setting: 0.80

Understanding the Ranges

Less Sensitive (<0.70): Focused and steady. Better for interactions that are more one-sided (reminders, confirmations, etc.). May ignore minor background noise and quick interjections from the caller.

With sensitivity set to 0.30, you can see how the AI Agent finishes it's full sentence despite the caller trying to interrupt with another question:

More Sensitive (0.70+): Alert and reactive. Better for a more natural, conversational feel. Higher sensitivity means the AI will “listen” better on calls, letting callers interject freely.

When set to 1.00, the AI Agent quickly pauses when asked another question, bringing a more natural flow to the conversation:

Very high sensitivity (0.95+) introduces the risk of false pauses to background chatter or other non-communicative sounds made by the caller.

Most Common Regal AI Voice Settings

Our default ranges are based on our starting recommendations for each setting. Most users end up staying within those ranges. To put all of these settings together into one full profile, the most common AI Agent set up would be:

Voice Speed: 1.08-1.11
Voice Temperature: 1.10-1.20
Volume: 1.00
Responsiveness: 1.00
Interruption Sensitivity: 0.80
‍

Accent Selection

Accent isn’t a slider, but is part of your voice selection. This can impact regional trust and engagement, and make callers feel more comfortable. It’s great for local services.

Most Regal users stick with Neutral American voices across all call types.

Voice Fallback and Other Settings

Beyond these settings, there are additional structural settings that improve the reliability and perceived personality of your AI Agent.

Voice fallback settings ensure resilience in the rare case of provider outages, so even if your primary TTS provider goes down, the agent continues without interruption. Regal supports automatic fallback routing across providers like ElevenLabs, OpenAI, and Cartesia. More on that here.

Silence handling controls whether the agent fills gaps in conversation or waits patiently, impacting how talkative or reserved the agent feels during calls.

Voicemail detection ensures your agent doesn’t waste time talking to a machine, or delivers the right pre-scripted message once voicemail is reached.

While subtle, these settings can meaningfully influence how the agent is perceived, especially depending on how they are paired with parameters like speed, tone, and responsiveness.

Voice Settings Directly Impact Performance

Each voice setting can directly impact how an AI Agent is perceived—how human they sound, how naturally they interact, and how well they contain and drive specific outcomes.

Certain characteristics predictably influence caller behavior

Human-likeness improves long-term trust and reduces opt-outs after the initial greeting.

Familiarity matters. Callers are more likely to stay engaged with voices that sound like them demographically or regionally.

Natural tone and pace helps calls feel lifelike and keep them moving steadily, increasing both comprehension, comfort, and caller agreeability.

Voice settings work together as well, not in isolation:

High responsiveness combined with moderate-high temperature gives the impression of an agent who’s present and engaged.
Low-Moderate voice temperature and lower interruption sensitivity can reinforce authority and composure, projecting confidence and professionalism without sounding harsh.
Low-Moderate voice speed, less responsiveness, and high temperature would come across as more delicate, or an agent that’s a better “listener.”
‍

What Regal’s Production Data Shows

While there are certainly edge cases (i.e. slower voices for older audiences), in general, Regals production data shows that you want voices to sound natural and approachable. That means a natural tone, steady pace, with moderate warmth.

When in doubt, use a female voice: 78% of companies using Regal use female voices (across all use cases), which tend to test higher for warmth and approachability.

For Lead Qualification and Collections Agents, that number goes up to 90%.

What voice should I choose for my Voice AI Agent?

Your AI Agent’s Voice Is a Performance Lever

In the end, the right combination of speed, temperature, responsiveness, and interruption handling makes all the difference in how your agent is perceived and how well they perform.

With Regal’s production data, smart defaults, and expert support, fine-tuning your agent’s voice to match your audience, use case, and brand tone is well within reach.

Start fine-tuning your AI Agent’s voice.

Frequently Asked Questions

Which voice settings should I adjust first to make speech feel more natural?

Adjust speed, tone, pacing/intonation (prosody), volume, and interruption sensitivity first, and pick a voice and accent that fit your audience. These parameters can be tuned per agent or campaign to match the use case.

How do prosody and emotional tone change how human the agent sounds?

Prosody—rhythm, stress, and intonation—and an appropriate emotional tone prevent monotony and convey emphasis and empathy. Align pacing and tone with the desired style (e.g., warm, calm, or energetic) to make speech more lifelike.

Should I include pauses or hesitations, and how do I set them?

Yes. Brief, context-appropriate pauses for breath, thought, or emphasis make delivery feel natural, but overuse can make the agent sound hesitant or slow.

Can slight background noise or imperfections help an AI voice feel more real?

Sometimes. Subtle ambient noise or minor imperfections can reduce a robotic feel, but clarity should take priority, so use them sparingly and intentionally.

How can I keep the AI agent sounding informed and context-aware during calls?

Link the agent to real-time knowledge sources so it can access relevant information during calls. This helps it respond accurately and naturally across different contacts.

Founded in 2020, Regal is an enterprise voice AI agent platform for contact centers. Regal helps businesses build, deploy, and manage autonomous AI agents across sales, support, and operations teams.

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Say goodbye to batch processing, complicated SQL queries or custom engineering to decide who to call. Journey builders help B2C create more timely, relevant and personalized outreach to customers.

Goodbye Regal Voice, Hello Regal.io

Friends and supporters, We are excited to announce our updated branding and website. It better captures what we stand for.

Announcing our Integration with Twilio Segment

We are excited to announce our integration with Twilio Segment, allowing you to seamlessly connect your first-party customer data with Regal.io and 200+ other integrated tools.

Milestone: $1 Billion Revenue Driven for Our Customers

We are thrilled to announce that Regal.io has driven over 20M conversations between our customers and their end users, leading to $1 billion in revenue driven to date.

The RAG Playbook: Structuring Scalable Knowledge Bases for Reliable AI Agents

Learn how to structure a knowledge base that keeps AI Agents accurate and on-script. Discover why human-style KBs fail, and apply best practices like single-topic chunking, concrete instructions, and explicit outcomes to reduce hallucinations and scale reliable RAG performance.

How to Use SIP to Integrate Regal Voice AI Agents with your Contact Center Software

Learn how SIP integration enables enterprises to connect Regal Voice AI Agents to existing CCaaS platforms, pass call context in real time, and deploy voice AI without infrastructure changes.

Demystifying AMD: How Answering Machine Detection Really Works

Regal's advanced AMD algorithm uses multiple factors to determine if a human answers your call. Learn more about the different techniques available.

February 2026 Releases

In February, we made AI agents sound and feel more natural, even when handling complex, multi-step conversations with conditional logic. These updates give you the control to build AI agents that don't just follow a script: they adapt, respond, and engage naturally with each customer.

Treat your customers like royalty

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