High-Quality Data for Audio Model Builders
Real-world data created by natural human activity. Select a domain below to learn more.
Audio & Speech
Learn more about our approach to Audio data
Why Protege
Massive, Diverse Corpora of Data
Access a multi-lingual, globally-diverse data catalog that covers various communication environments, situations, and contexts. Our approach optimizes for linguistic diversity, including accents and acoustic variety.
Iterative “Needle in Haystack” Curation
Whether you need high-quality Urdu or a specific slice of healthcare audio, we can help you build the right dataset to fit your needs. Our programmatic curation tools help identify what you need or iterate with you to match your challenge — no matter how specific.
Research-level Quality Control and Segmentation
We partner directly with researchers to deliver audio data that's ready to use. Our quality control checks uncover issues such as echo and reverb, clicks and drops, and spoken kilohertz quality, helping surface the signal in even the most complex real-world audio.
Research-Grade Quality Checks & Controls
Sourcing real-world audio is only half the job. Our research team applies audio quality checks specific to AI model development use cases to ensure your data is training-ready.
Explore our audio & speech data
Clinical conversations, patient interactions, and medical dialogue spanning multiple languages and healthcare systems worldwide.
Conversational audio across the diverse linguistic landscape of South Asia, covering major and regional Indic languages in natural dialogue settings.
Real-world audio spanning the full spectrum of Arabic dialects across varied communication contexts.
Everyday conversational audio capturing casual speech, social interaction, and natural dialogue across cultures, topics, and walks of life.
Formal spoken audio from legal and courtroom environments, including structured testimony, legal argument, and professional dialogue.
Conversational audio covering underrepresented languages, helping teams training models where quality data is hardest to find.
Audio capturing natural speech disfluencies — filler words, pauses, interruptions, and non-verbal vocalizations — critical for robust performance.
Customer service and support conversations across languages and regions, reflecting real-world agent-customer dialogue at scale.
Human-reviewed transcripts paired with audio, providing verified, research-ready labels for speech and language model training.