Case Study: Sharpen achieves higher transcription quality and speed with Deepgram

Sharpen improves transcription quality with Deepgram after feeding hours of calls into its model

Sharpen, a provider of an agent-focused cloud contact center platform, faced a challenge with its previous automatic speech recognition (ASR) solution, which delivered poor transcription quality. This was a critical issue as their teams relied on accurate speech-to-text for agent coaching and compliance. Seeking a better tool, Sharpen turned to the vendor Deepgram and its enterprise ASR platform.

Deepgram's solution, powered by end-to-end deep learning, provided a significant and immediate improvement in transcription accuracy and speed. The ability to create custom-trained models was a particular game-changer, allowing for even greater precision with industry-specific terminology. This upgrade from Deepgram enabled Sharpen to deliver a more reliable and valuable experience to its own customers.

Sharpen