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Audio & Speech Annotation

Precision audio transcription, timestamping, and sound event classification for AI models.

Interactive Preview

LIVE
AUDIO_WAVEFORM_16KHZ
00:00:12.450
Output PreviewJSON
{
  "audio_id": "AUD_2991",
  "duration": "00:02:14",
  "segments": [
    {
      "start": 12.5,
      "end": 18.2,
      "speaker": "SPEAKER_01",
      "transcript": "Okay, let's proceed with the data verification.",
      "sentiment": "positive"
    },
    {
      "start": 19.0,
      "end": 21.5,
      "speaker": "SPEAKER_02",
      "transcript": "Understood. Uploading now.",
      "emotion": "neutral"
    }
  ]
}

Capabilities & Features

  • Audio TranscriptionEnterprise grade precision
  • Sound Event DetectionEnterprise grade precision
  • Speaker DiarizationEnterprise grade precision
  • Sentiment AnalysisEnterprise grade precision

Quality Assurance Process

Every project undergoes a rigorous 3-step verification process: Annotator Self-Check, Senior Reviewer Audit, and Automated Consistency Checks. We guarantee 98%+ accuracy on Golden Sets.

Start a Pilot
How it flows

Audio & Speech Annotation, as one route

From your raw data to a model-ready dataset, with quality gates you can audit.

  1. Business problem

    Your raw data

    Audio & Speech

  2. VentureSoft thinking

    Guidelines and gold set

    Agreed with your ML team

  3. Technology

    Audio Transcription

  4. Technology

    Sound Event Detection

  5. Technology

    Three-tier QA

    100% review, golden-set audit

  6. Measured outcome

    Model-ready dataset

    Delivered in your format

Where it is usedVoice assistantsCall analyticsMedia transcriptionSafety and compliance
Engagement

From pilot to production

  1. 1
    Phase 1

    Sample and scope

    Send a sample; we return a labeled subset with QA metrics.

  2. 2
    Phase 2

    Guidelines

    Schema, edge cases, and acceptance criteria versioned together.

  3. 3
    Phase 3

    Pilot batch

    Up to 5,000 annotations through the three-tier workflow.

  4. 4
    Phase 4

    Scale

    Dedicated pod with API delivery into your pipeline.

  5. 5
    Destination

    Continuous improvement

    Gold sets and guidelines evolve with your model.

Start with a pilot dataset

Send us a sample and we will return annotated data with QA metrics within days.