Research-driven dataset development
Develops audio datasets using a research-style workflow that moves from hypothesis to design, experiment, evaluation, productionization, and release.
David AI
Freemium
David AI crée des jeux de données audio propriétaires pour l’IA vocale et conversationnelle.
Qu'est-ce que David AI ?
David AI is an audio data research company that develops proprietary datasets for speech and conversational AI. The site positions audio as the interface it wants to improve, and says the company works with top AI labs and Fortune 100 companies.
Its process is organized around dataset design and validation: identify a capability to unlock, architect the data shape, run targeted collection, evaluate signal quality, scale the dataset, and then publish and continue improving it. The product is therefore best understood as a dataset provider and research partner rather than a software platform.
Que peut faire David AI ?
Ongoing dataset improvement
Publishes and maintains datasets over time rather than treating release as a one-time event.
Converse dataset
Provides a flagship English dataset, Converse, built from channel-separated, natural two-speaker conversations across a wide range of topics.
Atlas multilingual dataset
Offers Atlas, a multilingual dataset spanning 15+ languages with dialect and accent metadata in the same format as Converse.
Chorus for multi-speaker audio
Includes Chorus for three-or-more-speaker conversations, originally designed for speaker-separation and diarization models.
Additional proprietary datasets
Includes Dialog, a collection of expert conversations across multiple domains, and notes that additional proprietary datasets are available by request.
Cas d'utilisation
“Train speech-to-speech models”
Teams building speech-to-speech systems can use the dataset catalog to find training data designed around natural conversation and voice interaction.
“Develop multilingual models”
Localization and multilingual AI teams can work with Atlas, which covers 15+ languages and includes dialect and accent metadata.
“Speaker separation and diarization research”
Researchers working on diarization or speaker separation can use Chorus, which focuses on conversations with three or more speakers.
“Evaluate and license datasets”
Product teams exploring new voice capabilities can request samples, review fit, and then license off-the-shelf datasets for their needs.
“Design new datasets with the company”
Labs that need a different data shape can collaborate with David AI to design a custom dataset for a specific audio AI capability.
Questions fréquentes
What does David AI do?
David AI describes itself as an audio data research company. It develops proprietary audio datasets for speech and conversational AI rather than a general-purpose software app.
How do you access the datasets?
The company says teams start by requesting samples, then enter a data license agreement for the dataset and use cases they need, and receive access to off-the-shelf datasets within one to two days.
What kinds of teams is it built for?
The homepage says David AI works with speech recognition, translation, synthesis, and conversational AI teams. Its featured datasets are designed for speech-to-speech, multilingual, and voice interaction systems.
Can teams work with David AI on custom datasets?
Yes. The homepage says the company frequently partners with research teams to design new shapes of data for specific use cases.
Is pricing public?
Public pricing details are not shown on the site. The pricing URL in the collected sources returns a 404 Not Found page.
Informations rapides
- Category
- Audio data research
- Primary use
- Speech and conversational AI datasets
- Website
- withdavid.ai
- Featured datasets
- Converse, Atlas, Chorus, Dialog
- Access model
- Sample request, license agreement, then dataset access
- Pricing
- Not public in the collected sources
Analyse du trafic de David AI
Les données de trafic sont fournies à titre indicatif uniquement.
- Évaluation du domaine
- 37
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