Multi-Speaker Audio Transcription
Transcribing a single clear speaker in a quiet environment is a solved problem. Transcribing overlapping speech, accented voices, cross-talk, and background noise at scale with 99.5% accuracy is not. Appen's audio transcription service delivers production-grade multi-speaker transcription across the acoustic conditions, language varieties, and specialised domains that commodity transcription services fail on.
165,000+ hours of transcribed audio across 100 languages. 99.5% accuracy on domain-specific content. Built for AI training data, not human reading.
What Appen Delivers
Speaker Diarisation and Labeling
Verbatim and Normalised Transcription
Domain-Specific Terminology Accuracy
Noisy and Adverse Condition Audio
Transcription as the Foundation of Speech AI
Automatic speech recognition models, speaker verification systems, and conversational AI platforms all train on transcribed audio. The accuracy, consistency, and domain coverage of that transcription determines the ceiling of what the model can learn. Appen's transcription programmes are designed for AI training requirements, not just readability.
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CallMiner Delivers Fast and Accurate Customer Insights with Large-Scale Annotation Solution
Appen is so fast. Using their platform, we could do overnight what used to take us a month. Appen is wonderfully efficient. – Rick Britt, Vice President of AI, CallMiner. The Company: Founded in 2002, CallMiner is the pioneer of the artificial intelligence (AI)-powered speech analytics space
Ready to build with confidence?
Talk to our team about speech and audio data solutions, from expressive TTS synthesis to dialectal speech collection across low-resource languages.