Samantha - Conversational

Voice Assistant E-learning Customer Support Explainer Video
murf.aiEnglishFemale Iconfemale

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Voice Summary

A clear, friendly, and conversational young adult female voice with a moderately fast pace. Its warm and helpful tone is ideal for voice assistants, e-learning, and customer-facing applications.

Voice Attribute Summary

age Estimate
Young Adult

The voice sounds youthful and modern, suitable for tech-forward applications.

pitch
High

The voice has a high, clear tone, often associated with friendliness and energy.

intensity
Soft

The voice is spoken at a gentle volume, creating a calm and non-intrusive feel.

energy Level
Medium

The voice has a balanced and engaging energy level, neither hyper nor monotone.

breathiness
Mild

A slight amount of air in the voice adds a soft and human-like quality.

pause Frequency
Occasional

The speaker pauses at natural points in sentences, aiding comprehension.

average Pause Length Ms
410

Pauses average around 410 milliseconds, creating a natural and unhurried conversational rhythm.

vocal Fry
Subtle

A minor amount of vocal fry is present, which can add a relaxed, contemporary feel.

Voice Analysis Breakdown

With a speaking rate of 176 words per minute, this voice is moderately fast and engaging. It delivers information efficiently without feeling rushed, making it ideal for tutorials and explainers where clarity and pace are key.

The average pitch of 212.29 Hz places this voice in a higher female range. This contributes to a sound that is clear, bright, and often perceived as friendly and optimistic.

At an intensity of 27.43%, the voice is delivered with a soft and gentle volume. This makes it pleasant and non-intrusive, perfect for voice assistants or background narration.

This voice scores a 6 out of 10 for energy, striking a balance between engaging and calm. It sounds positive and helpful without being overly energetic, suiting professional and conversational applications.

Recommended For

  • Best for IVR systems and voice assistants, providing clear and friendly guidance to users.
  • Best for e-learning modules and tutorials, where the clear, pleasant tone keeps learners engaged.
  • Best for explainer videos, as the conversational pace makes complex information easy to digest.
  • Best for customer support applications, offering a warm and reassuring voice for automated responses.

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