Unlock the Power of Custom Voice Data

Unlock the Power of Custom Voice Data

Tailored Voiceover Solutions for Superior AI Training and Real-World Applications.

Consultation
Leader Summer 2024
Leader Winter 2025
Leader Spring 2025
Leader Summer 2025
G2
G2
(4.6)
Why Custom Voice Data Matters
INTRO

Why Custom Voice Data Matters

The choice between off-the-shelf, crowdsourced and custom studio recorded voice data can make all the difference. While off-the-shelf and crowdsourced voice data offer convenience, scale and cost benefits, custom recorded speech data provides unparalleled accuracy and relevance, ensuring your AI models are trained with the most effective and context-specific inputs.

Our custom voice data can be recorded to simulate various real-life environments, such as those with background noise, including in-car driving sounds, crowd noise, public places, and more, as well as emotions that match the situation, all of which ensure your AI models perform accurately in real-world scenarios. This adaptability enhances the reliability and effectiveness of your AI solutions.

    With over 80 languages in-house and 200 including partners, our custom voice data services cater to a global audience. We provide diverse linguistic options to ensure your AI models are equipped to handle a wide range of languages and dialects, including low-resource and harder to source languages.

      With off-the-shelf and crowdsourced data, the origins and licensing can be as uncertain as the quality itself. Custom voice data overcomes this by ensuring transparency, with verified sources and clear usage consent. In addition to being recorded in known high-quality studios, all our talents are licensed and ethically sourced, providing peace of mind and compliance assurance.

        High-Performance Models Demand High-Quality Data

        Andovar’s custom voice data is crafted to meet your specific model needs, offering a level of precision and adaptability that generic data simply cannot match. This tailored approach enhances model performance, leading to more accurate and reliable AI solutions.

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