The Voice Data Behind the World's Best AI
Training data quality determines model quality. Voices delivers custom or pre-built voice datasets—directed by real professional talent, not scraped audio—across any language, accent, or emotional range.
Choose from 800+ hours of character voice performances, 1,723 hours of QA'd conversational data across 56 emotional states, or 1,000 hours of expressive, multi-language data with full emotion tagging. Every dataset ships with clear licensing, signed consent, and usage rights baked in, so your legal team sleeps easy and your model trains on data it can actually use.
7 of the world's top 10 AI labs already use Voices. Request free samples and hear the difference professionally directed voice data makes.
Performance Ratio — The Universal Solar KPI
Performance Ratio (PR) is the most widely used metric for assessing the overall health and efficiency of a solar PV system. It compares actual energy output to the theoretical maximum output if the system operated at STC efficiency throughout the period. A PR close to 1.0 indicates an excellent system; a declining PR over time indicates degradation or fault development.
PR = Eactual (kWh) / [Prated (kWp) × Hirradiance (kWh/m²)]
Example: 6.6 kWp system produces 1,200 kWh in a month. Irradiance measured at 180 kWh/m².
PR = 1,200 / (6.6 × 180) = 1,200 / 1,188 = 1.01 — excellent
Typical PR Values in Australia
System Type / Condition | Typical PR |
|---|---|
New, well-designed residential system | 0.80 – 0.85 |
Commercial flat roof, tropical | 0.75 – 0.82 |
Off-grid with battery (additional conversion losses) | 0.65 – 0.75 |
System with significant shading or soiling | 0.60 – 0.75 |
System with undiagnosed inverter fault | <0.60 — investigate immediately |
Calculating PR Without an Irradiance Sensor
If the system lacks a local irradiance sensor, use BoM gridded solar data for the site's location and time period as a proxy for measured irradiance. Tools like PVwatts and Solargis provide modelled PR calculations without on-site monitoring hardware. While less accurate than measured PR, modelled PR still identifies significant performance deficits.
Engr. Jason Morales — Founder, SolarEnergyPH





