Viviana

IVR & Phone Systems AI Assistant Technical Narration Public Announcements
async.aiEnglishFemale Iconfemale

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Voice Summary

Viviana is a high-pitched, female American voice that speaks at a fast pace with a distinctly flat, robotic, and monotone delivery. Its clear and consistent tone is ideal for automated systems and informational content.

Voice Attribute Summary

age Estimate
Young Adult

The voice sounds like it belongs to a person in their 20s or 30s.

pitch
High

This voice has a higher-than-average vocal pitch, sounding bright and clear.

intensity
Normal

The voice is delivered at a standard, conversational volume.

energy Level
Low

The voice has a very steady and measured delivery with minimal emotional inflection.

breathiness
None

The voice has a clear, non-aspirated quality with no audible breathiness.

pause Frequency
Rare

The speech has a continuous flow with very few pauses between phrases.

average Pause Length Ms
150

The average pause between phrases is around 150 milliseconds, contributing to a fluid pace.

vocal Fry
Subtle

A slight, occasional creaky or rattling quality is present in the voice.

Voice Analysis Breakdown

A pace of 186 WPM is significantly faster than the average conversational speed. This makes the voice well-suited for delivering information quickly and efficiently, such as in automated announcements or technical tutorials.

With an average pitch of 231.57 Hz, this voice falls into the higher range for a female speaker. This high frequency contributes to its clarity and perceptibility, though it can also sound less grounded or authoritative.

An intensity of 48.53% indicates a moderate and consistent volume level. The voice is neither loud nor quiet, making it easy to listen to without being intrusive, ideal for background narration or system prompts.

An energy score of 2 out of 10 signifies a very low level of vocal modulation and emotional expression. The delivery is flat and monotone, reinforcing a robotic or purely informational persona.

Recommended For

  • Best for automated phone systems and IVR where a clear, neutral, and consistent voice is essential.
  • Best for AI voice assistants and smart devices that require a direct, non-emotive informational tone.
  • Best for technical e-learning modules and software tutorials that prioritize clarity over personality.
  • Best for public address systems and transit announcements that need to deliver information efficiently.

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