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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

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.

play audio files in index

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

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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

Filtering methods in Encord

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.

audio track

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.

Unify data management and labeling across teams and modalities

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.

Agent workflows

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.

Enterprise-grade.
Built for scale.
Designed for reliable AI.

API/SDK-first. Zero data migration. Your data stays in your cloud.

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The data layer for AI

Get the data right

300+ of the best AI teams in the world use Encord. Join them.