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GreenKey Files Patent on Fast, High-Accuracy Transcription Using Multiple Engines

GreenKey Technologies, creator of an artificial intelligence (AI) and voice-driven collaboration tool for financial market participants, announced that the U.S. Patent and Trademark Office has accepted its application for improved speed and transcription accuracy of automatic speech transcription based on multiple speech-to-text engines.

The speech recognition engine, GreenKey Scribe, can reduce transcription error rates by 50% using the approach documented in the new patent. Scribe uses an array of transcription engines trained on different content domains and automatically selects the engine that will perform best on a particular segment of a conversation. The transcription engines that Scribe leverages can be a combination of models built by GreenKey, engines built by partner transcription providers and cloud transcription services.

Other multi-engine approaches send audio to many engines in parallel and compare the transcriptions. This process can be slow and computationally expensive. Through the method detailed in GreenKey’s new patent, termed “Scribe SwitchBoard,” Scribe can analyze an audio file in less than a second to determine which engine will transcribe it best, without having to send it to all of them.

GreenKey Scribe was designed to help firms transcribe noisy, jargon-heavy audio with high accuracy in a variety of industries, from Finance to Emergency Services, where common cloud transcription solutions typically perform poorly due to the audio content. With its latest transcription method, Scribe enables firms to maintain high transcription accuracy across a variety of accents, languages and audio quality environments.

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