- Request Data
Tell us about your project scope and data needs
| Speech-to-Text
Noisy single-channel audio dataset best for training STT models.
| Text-to-Speech
Clear, high-quality single-channel audio dataset best for training TTS models across a diverse range of voices.
| Speech-to-Text, Text-to-Speech
Multi-channel audio dataset composed of real-word conversations between multiple speakers.
Our proprietary Clamor, Crisp, and Convo datasets available in 9+ languages.
We’ve built custom pipelines to collect, process, clean, and annotate large scale audio datasets. Let’s work together to figure out your needs.
Panels is on a mission to give AI the richest, fairest picture of human sound ever assembled. We build research-grade audio datasets so frontier labs can train models that understand people.
We believe the next breakthrough in voice AI will come from training on sound that finally reflects the way humans really live, speak, and listen.
Tell us about your project scope and data needs
We’ll send over some samples for review
Scale up the data to fit your model’s training needs
| Speech-to-Text
Noisy single-channel audio dataset best for training STT models.
| Text-to-Speech
Clear, high-quality single-channel audio dataset best for training TTS models across a diverse range of voices.
| Speech-to-Text, Text-to-Speech
Multi-channel audio dataset composed of real-word conversations between multiple speakers.
Our proprietary Clamor, Crisp, and Convo datasets available in 9+ languages.
We’ve built custom pipelines to collect, process, clean, and annotate large scale audio datasets. Let’s work together to figure out your needs.
Panels is on a mission to give AI the richest, fairest picture of human sound ever assembled. We build research-grade audio datasets so frontier labs can train models that understand people.
We believe the next breakthrough in voice AI will come from training on sound that finally reflects the way humans really live, speak, and listen.
Tell us about your project scope and data needs
We’ll send over some samples for review
Scale up the data to fit your model’s training needs