Deepgram

Deepgram neural network

Embed speech AI into your applications.

  • Business model: Freemium
  • Link No. 2
  • Minimum subscription cost: from $4000 per year
  • Deepgram Features

    Deepgram offers advanced AI-powered speech-to-text and speech understanding solutions. The main products of the platform are:

    • AI Language Models: AI-powered language models that deliver unparalleled accuracy and speed.

    • Speech to Text: Converts speech to text with unmatched accuracy, speed and cost.

    • Speech Comprehension: Summarizes any audio or video content.

    Key Features:

    • Unmatched Performance: Deepgram's Nova model delivers 22% lower Word Error Rate (WER), 23x faster inference time, and 3-7x lower price than competitors.

    • Whisper APIs: These are faster, more reliable, and cheaper than the OpenAI APIs, including built-in diarization, word-level timestamps, and an 80x larger file size limit.

    • Custom Models: Specially trained speech models that can significantly improve accuracy, especially in clients' unique jargon.

    Examples of using:

    • Speech Analytics: Analyze and understand speech data to gain valuable insights.

    • Media Transcription: Fast and accurate transcription of audio and video content.

    • Conversational AI: Improve your chatbots and AI virtual assistants with speech recognition.

    • Contact Centers: Improve customer service with accurate transcription and speech analysis.

    Reviews:

    Deepgram is trusted by leading enterprises, startups and researchers, receiving overall positive reviews from 154 users.

    Additional resources:

    Deepgram provides resources such as case studies, white papers, reports, and a community forum for developers. They also offer documentation, tutorials, and an ASR comparison tool.

    Deepgram: how to use, instructions, video

  • Deepgram: video

    Deepgram Aura Text-to-Speech API

    LLMs and Audio Data: Breaching an Untapped Goldmine | Deepgram | MLOps World 2023 | Austin, Texas

The Deepgram neural network was first published on 04/22/2024 02:07:26 and manually edited on 04/25/2024 22:33:56.

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