OpenAudio S1 delivers superior transcription accuracy with just 0.008 WER and 0.004 CER on English text, using GPT-4o and RevAI-based speaker detection.
OpenAudio S1 is a cutting-edge speech transcription model designed for developers, researchers, and content creators seeking high-accuracy voice-to-text performance. Evaluated using Seed TTS Eval Metrics, it demonstrates exceptional results on English text, with a Word Error Rate (WER) of just 0.008 and a Character Error Rate (CER) of 0.004.
The model leverages OpenAI’s GPT-4o for auto evaluation and integrates advanced speaker distance tracking through RevAI and pyannote-based tools. This ensures accurate transcription even in multi-speaker or variable-distance audio scenarios, making it ideal for podcast editing, meeting transcription, or building voice-based applications.
Whether you're working on real-time speech analysis or large-scale audio datasets, OpenAudio S1 provides reliable accuracy with minimal post-correction required. It’s a strong choice for teams prioritizing clean, structured, and high-quality transcription workflows.
With significant improvements over previous models, OpenAudio S1 represents a new standard in automated speech recognition for English.
Advanced text-to-speech with multi-voice capabilities and natural prosody for professional use.