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David AI

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Proprietary high-quality audio datasets for speech recognition, translation, synthesis, and conversational AI

Adicionado em:13 de jul. de 2026
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audio datasetsspeech recognitionspeech synthesisconversational AImultilingual audiospeaker diarization

Informações da ferramenta

O que é David AI?

David AI is an audio data research company that develops and supplies proprietary audio datasets with research-grade rigor. Its mission is to bring AI into the real world through voice by creating high-signal datasets that AI labs and companies use to train speech, multilingual, and conversational voice models.

Recursos principais

  • Converse Dataset

    Flagship English dataset of channel-separated, natural two-speaker conversations spanning a wide range of topics.

  • Atlas Dataset

    Multilingual dataset spanning 15+ languages with metadata on dialects and accents, following the same format as Converse.

  • Chorus Dataset

    Dataset of conversations involving three or more speakers, originally designed for training speaker-separation and diarization models.

  • Dialog Dataset

    Collection of expert conversations across a range of domains.

  • Research-driven dataset process

    End-to-end workflow of hypothesize, design, experiment, evaluate and iterate, productionize, and release to create high-signal audio datasets scaled to thousands of hours.

  • Custom dataset collaboration

    Partnerships with research teams to design new shapes of data for any use case beyond the listed proprietary datasets.

Casos de uso

  • #1

    Speech recognition

    Training and improving speech recognition models using high-quality proprietary audio data.

  • #2

    Translation

    Supporting translation systems with multilingual audio datasets that include dialect and accent metadata.

  • #3

    Speech synthesis

    Powering speech synthesis models with natural conversational and expert dialogue data.

  • #4

    Conversational and speech-to-speech AI

    Enabling natural voice interaction, speech-to-speech, and multi-speaker conversational systems.

  • #5

    Speaker separation and diarization

    Training models for multi-speaker separation and diarization using the Chorus dataset.

Melhor para:Fortune 100 companiesAI research labsTeams building speech recognition, translation, synthesis, or conversational AIResearch teams seeking custom audio datasets

Planos de preços

Request samples via a call, then purchase access through a data license agreement for the needed datasets and use cases; off-the-shelf access granted within one to two days; custom dataset partnerships also offered.

Alternativas

Perguntas frequentes

What is David AI?
David AI is an audio data research company that develops proprietary high-quality audio datasets for speech recognition, translation, synthesis, and conversational AI, trusted by top AI labs and Fortune 100 companies.
What datasets does David AI offer?
David AI offers proprietary datasets including Converse (English two-speaker conversations), Atlas (multilingual across 15+ languages with dialect and accent metadata), Chorus (multi-speaker conversations for separation and diarization), and Dialog (expert conversations across domains), plus custom datasets through collaboration.
How does pricing and access work?
David AI uses a paid model. Teams request samples via a call to discuss their use case, then enter a data license agreement for the required datasets. Off-the-shelf access is typically granted within one to two days; custom dataset partnerships are also available.
Who uses David AI datasets?
Datasets are used by Fortune 100 companies, AI research labs, and teams building speech recognition, translation, synthesis, or conversational AI systems, as well as research teams seeking custom audio data.
Can David AI create custom datasets?
Yes. David AI frequently partners with research teams to design new shapes of data for specific use cases beyond its listed proprietary datasets.

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Informações da ferramenta

Modelo de preçosPaid
CategoriaÁudio
Tags
audio datasetsspeech recognitionspeech synthesisconversational AImultilingual audiospeaker diarization
IdiomaInglês
Última atualização16 de jul. de 2026