Speechmatics
15 Case Studies
A Speechmatics Case Study
TranscribeMe was engaged by a Fortune 500 company that needed thousands of research calls transcribed each month with near‑perfect accuracy and 24‑hour turnaround. The recordings included many accents, technical content and frequent background noise, and the customer had been unable to find a single vendor to meet these requirements. To address this, TranscribeMe evaluated ASR options and partnered with Speechmatics to leverage automatic speech recognition as part of the solution.
TranscribeMe implemented a hybrid workflow pairing Speechmatics’ ASR with curated teams of human transcriptionists from its global workforce, enabling rapid post‑editing and quality control. With Speechmatics as the ASR engine, the combined solution consistently achieves above 99% accuracy, meets the 24‑hour delivery window, scales to process much larger volumes, and reduces time and cost compared to prior approaches.
Nathan Pikover
Chief Operating Officer