When it comes to your customer base, a generic one-size-fits-all speech recognition model isn’t going to cut it. Deepgram provides the most accurate speech models tailored to a variety of use cases to suit your needs.
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Base models are built on our signature end-to-end deep learning speech model architecture and offer a solid combination of accuracy and cost effectiveness.
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Enhanced models generally have higher accuracy with better word recognition than our Base models and they handle uncommon words significantly better.
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Unlike custom vocabularies, custom training changes the speech model parameters so 1000s of keywords and phrases can be part of the speech model.
Our end-to-end deep learning architecture and AutoML™ training allows Deepgram to create highly accurate, use-case specific speech recognition models. Pair the right model tier with your use case need for unparalleled accuracy on your audio.
General
Optimized for everyday audio processing. Generally, more accurate than any region-specific Base model for the language for which it is enabled. If you aren’t sure which model to select, start here.
• Base ⭐️
• Enhanced ✨
• Trained 💫
OpenAI Whisper
Conversational AI
Optimized to allow artificial intelligence technologies, such as chatbots, to interact with people in a human-like way.
• Base ⭐️
• Trained 💫
Phone call
Meetings
Optimized for conference room settings, which include multiple speakers with a single microphone.
• Base ⭐️
• Enhanced ✨
• Trained 💫
Voicemail
Optimized for low-bandwidth audio clips with a single speaker. Transfer learned from our phone call model.
• Base ⭐️
• Trained 💫
Earnings
Optimized for multiple speakers with varying audio quality, such as might be found on a typical earnings call. Vocabulary is heavily finance oriented.
• Base ⭐️
• Enhanced ✨
• Trained 💫
Trained Model
Train a model on the words most important for your use case. 1000s of keywords and phrases can be part of your model.
