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Manage & curate audio data in Encord

Accurately curate and label audio data

Consolidate and scale audio data management, curation and annotation workflows on one platform without compromising speed or security.

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Manage and curate audio files with ease

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Upload audio files using the Encord platform or SDK

Connect to AWS, GCP, Azure, or OTC cloud storage in a few clicks and access all nested audio files and associated metadata in an instant.

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Visualize and listen to audio files seamlessly, in one view

Navigate and understand large audio datasets in just a few clicks using metadata filters and simple native playback functionality.

Annotate audio files for any use case

Take advantage of global or temporal classifications to accurately and efficiently label audio data for any use case.

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Speaker Recognition

Use temporal classifications to annotate characteristics of speech or music files such as emotion and speaker to train Generative AI models.

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Sound Event Detection

Use temporal classifications to annotate elements of audio files containing specific sounds to train audio recognition models.

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Audio File Classification

Use global classifications to categorize and annotate individual audio files.

Customize audio curation and annotation workflows

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Inspect your data using metrics and custom metadata

Filter and slice audio datasets using 40+ data metrics and explore by metadata to efficiently curate high quality data for AI model development.

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Label audio fast with adjustable playback

Listen to your audio files during while completing annotation tasks and flexibly change the playback speed and second skip interval to best suit your project requirements.

Streamline data management and labeling workflows across multiple teams and data modalities

Centralize your unstructured data with ease and eliminate the need to build fragmented traditional and vector database infrastructure. Eliminate over half of the time spent on data cleansing and preparation.

Collaborate Asset

Make it easy for teams to collaborate

Leverage Role Based Access Control to enable organization-level user management.

One place to explore Asset

One place to explore data across all modalities

Manage and explore multimodal data including image, video, DICOM and audio to efficiently prepare exactly the right data required for your AI model.

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Leverage SOTA models within data workflows

Integrate SOTA models or your own models directly into your data workflows to automate any data action such as reviews, pre-labeling, data classification, filtering and more.

Why Encord?

Join thousands of ML practitioners deploying production-ready AI applications using best-in-class data curation, labeling, and model evaluation tools with Encord.

20% increase in mAP with intelligent data curation.

Read Automotus's story

60% increase in labeling speed by simplifying data pipelines.

Read Conxai’s story

83% reduction in false positive rate with specialised data management.

Read Vida’s story
Integration Asset

Integration

Integrate seamlessly with your toolstack

Connect your secure cloud storage, MLOps tools, and much more with dedicated integrations that slot seamlessly into your workflows.

Security

Security

Built with security in mind

Encord is SOC2, HIPAA, and GDPR compliant with robust security and encryption standards.

API/SDK asset

API/SDK

Developer-friendly for easy access

Leverage our API/SDK to programatically access projects, datasets & labels within the platform via API.

Encord RESOURCES

Explore other resources

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Webinars

How to build an AI agent on your own data

Learn how to use Encord Agents to integrate foundational models and custom models into your data workflows to build production grade AI models faster. Register now to upgrade your AI data workflows.

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Product

Supporting your labeling needs

Super charge your data annotation with AI-powered labeling — including automated interpolation, object detection and ML-based quality control.

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Whitepaper

Maximizing AI ROI: Why Data Matter Most

Many organizations overlook a crucial first step for successful implementation: getting their data ready for AI. Explore our AI report to gain insight into maximizing AI ROI.