https://blog.deepgram.com/

Author

Martin Lees
April 14, 2023

Deepgram Blog ⚡️

Deepgram Automatic Speech Recognition helps you build voice applications with better, faster, more economical transcription at scale.

blog.deepgram.com

tl;dr:

  • We’re introducing our next-gen speech-to-text model, Nova, that surpasses all competitors in speed, accuracy, and cost (starting at $0.0043/min). We have legit benchmarks to prove it.

  • We are launching a fully managed Whisper API that supports all five open-source models. Our API is faster, more reliable, and cheaper than OpenAI's. It also has built-in diarization, word-level timestamps, and an 80x higher file size limit.

  • Sign up now to get started with our API and receive $200 in credits (around 45,000 minutes), absolutely free! If you're building voice apps at scale, contact us for the best pricing options.

Meet Deepgram Nova: The New Benchmark For Speech-to-Text

Introducing Deepgram Nova, the world's most powerful speech-to-text model. Compared to its nearest competitor, Nova delivers:

  • A remarkable 22% reduction in word error rate (WER)

  • A blazing-fast 23-78x quicker inference time

  • A budget-friendly 3-7x lower cost starting at only $0.0043/min

Nova's groundbreaking training spans over 100 domains and 47 billion tokens, making it the deepest-trained automatic speech recognition (ASR) model to date. This extensive and diverse training has produced a category-defining model that consistently outperforms any other ASR model across a wide range of datasets (see benchmarks below).

While other models rely on smaller, tightly paired audio-text training datasets or unsupervised audio pre-training, Nova's vast and diverse training data sets it apart. This means Nova doesn't just excel in one specific domain—it's your go-to model for versatility and adaptability.

To put it simply, Nova sets a new standard in ASR technology. Its comprehensive training on diverse data makes it the most reliable and adaptable model on the market, ideal for a wide array of voice applications that require high accuracy in diverse contexts. And it doesn't stop there: Nova also provides a solid foundation for fine-tuning in specific domains and tackling enterprise use cases, no matter the niche.