Audio Annotation

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Audio Annotation

Behind voice assistants recognizing multiple speakers in a noisy café and chatbots detecting tone in customer service lies Audio Annotation: the key to training AI to interpret sound as accurately as humans.

What is Audio Annotation?

Audio annotation involves labelling and categorizing sound data: speech, background noise, accents, and emotions so AI models can interpret and respond accurately.

Audio annotation impacts AI-powered medical transcription and speech therapy applications, speaker segmentation in forensic investigations, automated subtitles, and much more.

How We Deliver High-Quality Audio Annotation

We blend cutting-edge AI tools with expert linguistic validation to ensure exceptional accuracy:

Speech-to-Text Precision: Time-stamped, multilingual, and dialect-specific transcriptions.
Speaker Segmentation & Emotion Detection: Identify multiple speakers and analyze sentiment.
Scalable & Secure: Large-scale processing with strict data privacy compliance.

Turn sound into structured insights. Let’s train your AI to listen, understand, and respond better.

Video Annotation

Imagine an AI system trained to assist surgeons during minimally invasive procedures, such as laparoscopic surgeries. With Video Annotation, AI can recognize organs, track surgical instruments in real time, and even detect anomalies like internal bleeding before a human eye catches them.

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We’d love to hear about your project and help you get started. Feel free to drop us a line.