Get the latest tech news
A new, enterprise-specific AI speech model is here: Jargonic from aiOla claims to best rivals at your business’s lingo
The model’s architecture integrates keyword spotting directly into the transcription process, allowing Jargonic to maintain accuracy...
That’s the challenge aiOla aims to address with the launch of Jargonic, its new automatic speech recognition (ASR) built specifically for enterprise use, which the Israeli startup is unveiling today. In benchmark tests, Jargonic demonstrated a 5.91% average word error rate (WER) across four leading English academic datasets, outperforming competitors such as Eleven Labs, Assembly AI, OpenAI’s Whisper, and Deepgram Nova-3. The model was trained on over one million hours of transcribed speech, including significant data from industrial and business environments, ensuring robustness in noisy, real-life settings.
Or read this on Venture Beat
