3 Integrations with Azure Speaker Recognition

View a list of Azure Speaker Recognition integrations and software that integrates with Azure Speaker Recognition below. Compare the best Azure Speaker Recognition integrations as well as features, ratings, user reviews, and pricing of software that integrates with Azure Speaker Recognition. Here are the current Azure Speaker Recognition integrations in 2024:

  • 1
    Azure AI Services
    Build cutting-edge, market-ready AI applications with out-of-the-box and customizable APIs and models. Quickly infuse generative AI into production workloads using studios, SDKs, and APIs. Gain a competitive edge by building AI apps powered by foundation models, including those from OpenAI, Meta, and Microsoft. Detect and mitigate harmful use with built-in responsible AI, enterprise-grade Azure security, and responsible AI tooling. Build your own copilot and generative AI applications with cutting-edge language and vision models. Retrieve the most relevant data using keyword, vector, and hybrid search. Monitor text and images to detect offensive or inappropriate content. Translate documents and text in real time across more than 100 languages.
  • 2
    Azure Cognitive Search
    Azure Cognitive Search is the only cloud search service with built-in AI capabilities that enrich all types of information to easily identify and explore relevant content at scale. Formerly known as Azure Search, it uses the same integrated Microsoft natural language stack that Bing and Office have used for more than a decade, and AI services across vision, language, and speech. Spend more time innovating and less time maintaining a complex cloud search solution. Deploy a search index quickly and avoid operational maintenance. This fully managed cloud search service reduces the complexity of data ingestion and index creation by integrating with popular Azure storage solutions and offering index functionality exposed through a simple REST API or .NET SDK. Deploy a fully configured search service with intuitive user experiences such as scoring, faceting, suggestions, synonyms, and geo-search—all while avoiding the operational overhead.
  • 3
    Azure AI Content Safety
    Azure AI Content Safety is a content moderation platform that uses AI to keep your content safe. Create better online experiences for everyone with powerful AI models that detect offensive or inappropriate content in text and images quickly and efficiently. Language models analyze multilingual text, in both short and long form, with an understanding of context and semantics. Vision models perform image recognition and detect objects in images using state-of-the-art Florence technology. AI content classifiers identify sexual, violent, hate, and self-harm content with high levels of granularity. Content moderation severity scores indicate the level of content risk on a scale of low to high.
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