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Audio Annotation Output Formats

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Most virtual assistance, speech recognition models, virtual customer support operations, and so on are built on audio annotation. To train, we need a dataset that has been annotated by specially designed applications/tools. Let's look at a few audio annotation tools and their export formats.

Label studio

  • Label Studio is an open-source data labeling tool.
  • It is a multi-type data labeling tool that supports audio, text, image, and video data labeling.
  • The tool is available in any web browser and provides datasets with high precision.
  • For exporting completed audio labeling tasks, Label Studio supports JSON, CSV, ASR MANIFEST, and TSV formats.

Diffgram

  • Diffgram is an open-source platform divided into three sections: annotation, catalog, and workflow.
  • It has scalable Training Data (Annotation, Catalog, Workflow) for all Data Types (Image, Video, 3D, Text, Geo, Audio, and more).
  • It only supports.mp3,.wav, and .flac files for audio annotation.
  • Diffgram supports export format JSON.

Audacity

  • Audacity is free and open-source software.
  • It is a multi-track audio editor and recorder for Windows, macOS, GNU/Linux, and other operating systems.
  • It can import, export, and record a variety of file formats, including WAV, AIFF, and MP3.
  • The default export format is plain ASCII text.

VGG Image Annotator (VIA)

  • VIA is an open-source project built entirely on HTML, JavaScript, and CSS.
  • VGG Image Annotator is a standalone manual annotation software for image, audio, and video.
  • VGG Image Annotator supports CSV and JSON export formats.
  • It can also be run as an offline application in any HTML-capable browser.

Audino

  • Audino is another open-source audio annotation tool that includes features such as transcription and labeling, allowing annotation for tasks such as Voice Activity Detection (VAD), Diarization, Speaker Identification, Automated Speech Recognition, Emotion Recognition, and more.
  • The annotations are easily exportable in JSON format.

The other open-source audio annotation tools are EchoML, Pratt, Aubio, and audio-annotator. The project's requirements are met and the desired results are obtained by selecting the appropriate tools.