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Discover how we create accurate and searchable audio transcripts with our community-driven approach
We leverage the power of our community volunteers to collect and label audio data using the Mozilla Common Voice project. This allows us to train our AI models with a diverse set of voices and accents for optimal performance.
We use state-of-the-art speech recognition algorithms to convert audio files to text, including support for multiple languages and dialects. Our pipeline is optimized for speed and accuracy, ensuring high-quality transcripts every time.
Listen and learn about the future of audio transcription!
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Radioship has been designed and built by a diverse team including journalitsts, machine learning, natural language process experts, data scientists and service designers.