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What is David AI?

At David AI, we believe that true AI innovation comes alive through natural interaction, and we are committed to developing high-quality audio datasets that push the boundaries of speech and conversational AI technologies.

Our Mission

Our mission is to elevate voice interaction to the forefront of artificial intelligence applications. We’ve established ourselves as a trusted partner to leading AI labs by providing the proprietary audio datasets essential for powering advanced models. The burgeoning landscape of audio AI relies on high-quality datasets, and we are dedicated to overcoming the audio data challenge by creating datasets with precision and rigor typically reserved for model training processes.

Our Unique Process

Our process delineates six key stages that drive our dataset creation:

  1. Hypothesize: We begin by determining the specific audio capabilities we aim to unlock for AI models.
  2. Design: We then architect a structured dataset that is tailored to effectively teach these capabilities to our AI systems.
  3. Experiment: This involves launching targeted data collection initiatives to gather high-quality audio samples pertinent to our hypotheses.
  4. Evaluate & Iterate: Rigorous quality assessments follow, allowing us to fine-tune our collection strategies until we achieve a highly effective dataset.
  5. Productionize: Once optimized, we scale our datasets to encompass thousands of hours of audio, ensuring robustness and versatility.
  6. Release: The final step involves publishing the datasets, with a commitment to ongoing improvements based on continual feedback and advancements in audio AI.

Our Featured Datasets

We proudly offer a suite of datasets designed to serve diverse applications in speech-to-speech translation, multilingual communication, and complex voice interaction systems:

  • Converse: Our flagship English dataset features over 15,000 hours of channel-separated, natural two-speaker conversations, allowing for a broad spectrum of topics and contexts.
  • Atlas: A multilingual dataset that spans over 15 languages, Atlas includes rich metadata on dialects and accents, formatted similarly to our Converse dataset.
  • Chorus: This dataset caters to conversations featuring three or more speakers, originally developed for training sophisticated speaker-separation and diarization models.
  • Dialog: A well-curated collection of expert conversations across various domains, specifically aimed at enhancing domain-specific AI models.

Additionally, we offer proprietary datasets not listed here, catering to specific needs and use cases. We are continually expanding our dataset offerings in response to unique requirements.

Accessing Our Datasets

Acquiring our datasets is a streamlined process. Interested teams can:

  1. Request samples by initiating a quick call to understand their particular use cases, after which relevant data samples will be sent.
  2. Purchase access through a data license agreement tailored to their selected datasets and defined use cases.
  3. Receive data for off-the-shelf datasets, with access typically granted within one to two days.

Collaboration Opportunities

At David AI, we highly value collaboration and are open to partnering with research teams to design novel datasets. If your organization seeks custom audio solutions, or if you're interested in exploring collaborative projects, we encourage you to reach out.

Our commitment to high-quality audio datasets makes us the go-to audio data research company in the industry, ready to meet the evolving needs of AI-driven voice technologies.

Pros & Cons

Pros

  • Offers extensive datasets, including over 15,000 hours of two-speaker conversations.
  • Focuses on research-driven data collection and iterative quality improvements.
  • Provides multilingual datasets with detailed metadata on accents and dialects.

Frequently Asked Questions

David AI is free to start, with paid plans from 0 to 0 USD per Translation not found for 'time_period_unknown'.

According to our latest information, this tool does not seem to have a lifetime deal at the moment, unfortunately.

David AI provides a range of audio datasets designed for various applications in speech and conversational AI. Their flagship dataset, Converse, includes over 15,000 hours of natural two-speaker conversations in English. Other datasets include Atlas, which covers 15+ languages with dialect and accent metadata, and Chorus, designed for multi-speaker discussions to aid in speaker separation and diarization. Additionally, there's the Dialog dataset featuring expert conversations in specialized domains, with options for custom dataset design upon request.

David AI employs a rigorous process to develop its audio datasets, akin to model development in AI. This includes hypothesizing desired AI capabilities, designing the data structure, experimenting with data collection, and continually evaluating and iterating on the datasets. The goal is to achieve high-quality, effective data that serves well for model training, ultimately scaling to reach thousands of hours while maintaining data integrity and relevance.

To access David AI's datasets, first, you can request samples to understand your specific use case, which they facilitate through a quick call. After that, you can enter into a data license agreement that matches your team's needs. Once the deal is in place, you can expect access to off-the-shelf datasets within one to two days. For experimental purposes, potential collaborators can explore new data shapes by contacting the company directly.

Yes, David AI is open to partnering with research teams to create custom datasets tailored to specific requirements. They express interest in collaborating to design datasets for unique use cases beyond what is currently offered. Interested parties can contact David AI directly to discuss potential collaborations or explore bespoke dataset design options.

David AI has developed a specialized infrastructure to significantly scale audio data collection, aiming for 1,000 times efficiency in creating high-quality datasets. This involves utilizing novel software and hardware solutions specifically designed for audio data, ensuring the capture of studio-grade audio across various languages, environments, and acoustic properties, thereby expanding the available pool of training data for audio models.

David AI's datasets are distinguished by their scale and quality. They have amassed the most extensive collection of channel-separated audio data available, which is reportedly ten times larger than the next largest dataset. This vast corpus, along with rich metadata for dialects and accents across multiple languages, provides unparalleled resources for training robust audio AI models and addresses the existing scarcity of high-quality audio datasets.

David AI's datasets are particularly beneficial for industries heavily reliant on voice interaction and conversational AI, including customer support, robotics, and voice-enabled devices. As AI applications continue to proliferate across various sectors, the demand for high-quality audio data will extend to numerous fields, including telecommunication, healthcare, automotive, and consumer technology, making David AI's solutions broadly applicable.

David AI follows a structured approach for data licensing, ensuring that terms are clear and tailored to the specific use case of each client. When entering a data license agreement, the company emphasizes safety and compliance, aiming to protect both user data and the integrity of the datasets. Interested parties are encouraged to review the terms of service and privacy policy on their website for detailed information regarding data handling and user rights.

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