{"id":40737,"date":"2024-03-27T14:24:17","date_gmt":"2024-03-27T13:24:17","guid":{"rendered":"https:\/\/www.schneider.systems\/?p=40737"},"modified":"2024-04-19T11:30:42","modified_gmt":"2024-04-19T09:30:42","slug":"microsoft-azure-ai-openai-whisper-on-azure-available","status":"publish","type":"post","link":"https:\/\/www.schneider.systems\/lu\/microsoft-azure-ai-openai-whisper-on-azure-available\/","title":{"rendered":"Microsoft Azure AI: OpenAI Whisper on Azure available"},"content":{"rendered":"

Effective March 13, 2024, Microsoft Azure<\/a> has announced the general availability<\/strong> of the Whisper model in Azure AI<\/a><\/strong>, offering users a powerful tool to enhance productivity and efficiency in various applications.<\/p>\n

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Human speech remains one of the most complex things for computers to process<\/strong>. With thousands of spoken languages in the world, enterprises often struggle to choose the right technologies to understand and analyze audio conversations while keeping data security and privacy guardrails in place.<\/p>\n

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Voice data in Azure<\/h2>\n

Azure AI<\/strong> offers an industry-leading portfolio of\u00a0AI services<\/strong>\u00a0to help customers make sense of their voice data<\/strong>. The speech-to-text service<\/strong> offers a variety of differentiated features through Azure OpenAI Service<\/a><\/strong> and Azure AI Speech<\/strong>. These features have been instrumental in helping customers develop multilingual speech transcription and translation, both for long audio files and for near-real-time and real-time assistance for customer service representatives.<\/p>\n

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Whisper: A Powerful Speech-to-Text Model<\/h2>\n

Whisper<\/strong> is a speech-to-text model from OpenAI and now generally available on Azure<\/strong>. Developers can use Whisper to transcribe audio files, making it easier to analyze customer interactions and derive actionable insights. Here are some key points:<\/p>\n

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  1. Multilingual Support<\/strong>: Whisper supports\u00a057 languages<\/strong>, enabling transcription and translation across diverse audio content.<\/li>\n
  2. Real-Time Assistance<\/strong>: Whisper is ideal for\u00a0real-time and near-real-time assistance<\/strong>\u00a0in customer service scenarios.<\/li>\n
  3. Enterprise-Ready<\/strong>: Backed by Azure\u2019s enterprise-readiness promise, the\u00a0Whisper API<\/strong>\u00a0is suitable for production workloads.<\/li>\n<\/ol>\n

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    OpenAI Whisper on Azure<\/h2>\n

    Since March 14, 2024, developers can begin using the generally available Whisper API in both Azure OpenAI Service<\/strong> as well as Azure AI Speech services<\/strong> on production workloads, knowing that it is backed by Azure\u2019s enterprise-readiness promise. With all speech-to-text models generally available, customers have greater choice and flexibility to enable AI powered transcription and other speech scenarios.<\/p>\n

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    Use Cases and Impact of Whisper on Azure<\/h2>\n

    Organizations across industries are leveraging Whisper and benefit from the following features:<\/p>\n