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articles/ai-foundry/responsible-ai/speech-service/embedded-speech/limited-access-embedded-speech.md

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# Limited Access to embedded Speech
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Embedded Speech is designed for on-device speech to text and text to speech scenarios where cloud connectivity is intermittent or unavailable. Microsoft's embedded Speech feature is a Limited Access feature available by registration only, and only for certain use cases.
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articles/ai-foundry/responsible-ai/speech-service/pronunciation-assessment/characteristics-and-limitations-pronunciation-assessment.md

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# Characteristics and limitations of Pronunciation Assessment
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As a part of the Azure AI Speech service, pronunciation assessment empowers end-to-end education solutions for computer-assisted language learning. Pronunciation Assessment involves multiple criteria to assess learners' performance at multiple levels of detail, with perceptions similar to human judges.
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articles/ai-foundry/responsible-ai/speech-service/pronunciation-assessment/transparency-note-pronunciation-assessment.md

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# Transparency Note
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An AI system includes not only the technology, but also the people who will use it, the people who will be affected by it, and the environment in which it is deployed. Creating a system that is fit for its intended purpose requires an understanding of how the technology works, its capabilities and limitations, and how to achieve the best performance.
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articles/ai-foundry/responsible-ai/speech-service/speaker-recognition/characteristics-and-limitations-speaker-recognition.md

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# Characteristics and limitations of Speaker Recognition
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In this section, we'll review what performance means for Speaker Recognition, best practices for improving performance, limitations, and fairness as it relates to the Speaker Recognition feature.
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articles/ai-foundry/responsible-ai/speech-service/speaker-recognition/data-privacy-speaker-recognition.md

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# Data and privacy for Speaker Recognition
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> [!NOTE]
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> This article is provided for informational purposes only and not for the purpose of providing legal advice. We strongly recommend seeking specialist legal advice when implementing Speaker Recognition.

articles/ai-foundry/responsible-ai/speech-service/speaker-recognition/guidance-integration-responsible-use-speaker-recognition.md

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# Guidance for integration and responsible use with Speaker Recognition
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Microsoft wants to help you responsibly develop and deploy solutions that use the Speaker Recognition feature. We're taking a principled approach to upholding personal agency and dignity by considering the AI systems' fairness, reliability and safety, privacy and security, inclusiveness, transparency, and human accountability. These considerations reflect our commitment to developing Responsible AI.
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articles/ai-foundry/responsible-ai/speech-service/speaker-recognition/limited-access-speaker-recognition.md

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# Limited Access to Speaker Recognition
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As part of Microsoft's commitment to responsible AI, Speaker Recognition is designed with the intention of protecting the rights of individuals and society and fostering transparent human-computer interaction. For this reason, Microsoft's Speaker Recognition feature is a Limited Access feature available by registration only, and only for certain use cases.
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articles/ai-foundry/responsible-ai/speech-service/speaker-recognition/transparency-note-speaker-recognition.md

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# Use cases for Speaker Recognition
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## What is a Transparency Note?
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articles/ai-foundry/responsible-ai/speech-service/speech-to-text/data-privacy-security.md

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# Data and Privacy for Speech to text
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> [!NOTE]
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> This article is provided for informational purposes only and not for the purpose of providing legal advice. We strongly recommend seeking specialist legal advice when implementing Speech Services.

articles/ai-foundry/responsible-ai/speech-service/speech-to-text/transparency-note.md

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# Use cases for Speech to text
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## What is a Transparency Note?
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