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About Standard-C
Voice Design Recipe Public
Director's casting notes & character prompt
Full Voice Summary
A polished and articulate female voice with a clean, synthetic consistency and a helpful tone. Its neutral American accent and precise enunciation make it ideal for automated systems and instructional content where clarity is paramount.
Acoustic Attributes
- age Estimate
- Mature Adult
The voice has the maturity and steadiness of a mature adult, suitable for professional contexts.
- pitch
- Medium
The voice's pitch is in a comfortable middle range for a female speaker, conveying professionalism.
- intensity
- Normal
The volume is at a standard, comfortable listening level.
- energy Level
- Medium
The voice sounds engaged and alert without being overly excited or lethargic.
- breathiness
- None
The voice is produced with clear vocal fold vibration and lacks a whispery quality.
- pause Frequency
- Occasional
The speaker pauses at natural points, typically between sentences or main clauses.
- average Pause Length Ms
- 350
Pauses are brief, keeping the overall pace of the delivery efficient and flowing.
- vocal Fry
- Subtle
A slight creaky or rattling quality is occasionally present at the end of some phrases.
Detailed Performance Breakdown
At 179.62 words per minute, this voice speaks at a brisk and efficient pace, slightly faster than average conversational speech, making it ideal for conveying information clearly without delay.
The average pitch of 165.89 Hz is a standard medium-range for a female voice, sounding professional and approachable without being overly high or low.
With an intensity of 60.4%, the voice has a balanced and normal volume, ensuring it is easily understood in various listening environments without being too loud or too soft.
An energy level of 5 out of 10 indicates a composed and steady delivery; the voice is engaged and alert but remains calm and professional rather than overtly energetic or passive.
Recommended Casting
- Best for navigating users through interactive voice response menus.
- Best for explaining concepts clearly in e-learning modules.
- Best for providing helpful feedback in mobile app guides.
- Best for handling inquiries as customer service bots.