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Copy file name to clipboardExpand all lines: articles/cognitive-services/Speech-Service/index-intent-recognition.yml
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### YamlMime:Landing
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title: Intent recognition documentation
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summary: Intent recognition with the Speech and Language Understanding (LUIS) services, enables real-time transcription of audio streams into text, while identifying intent and entities.
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summary: Intent recognition with the Speech and Language services, enables real-time transcription of audio streams into text, while identifying intent and entities.
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metadata:
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title: Intent recognition documentation - Tutorials, API Reference - Azure Cognitive Services | Microsoft Docs
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titleSuffix: Azure Cognitive Services
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links:
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- text: Overview
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url: intent-recognition.md
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- text: Recognize speech intents with CLU
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url: get-started-intent-recognition-clu.md
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- text: Recognize speech intents with simple pattern matching
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ms.service: cognitive-services
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ms.subservice: speech-service
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ms.topic: overview
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ms.date: 10/13/2020
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ms.date: 02/22/2023
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keywords: intent recognition
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---
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## Pattern matching
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The SDK provides an embedded pattern matcher that you can use to recognize intents in a very strict way. This is useful for when you need a quick offline solution. This works especially well when the user is going to be trained in some way or can be expected to use specific phrases to trigger intents. For example: "Go to floor seven", or "Turn on the lamp" etc. It is recommended to start here and if it no longer meets your needs, switch to using LUIS or a combination of the two.
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The Speech SDK provides an embedded pattern matcher that you can use to recognize intents in a very strict way. This is useful for when you need a quick offline solution. This works especially well when the user is going to be trained in some way or can be expected to use specific phrases to trigger intents. For example: "Go to floor seven", or "Turn on the lamp" etc. It is recommended to start here and if it no longer meets your needs, switch to using LUIS or a combination of the two.
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Use pattern matching if:
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* You're only interested in matching strictly what the user said. These patterns match more aggressively than [conversational language understanding (CLU)](../LUIS/index.yml).
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## Conversational Language Understanding
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Conversational language understanding (CLU) enables users to build custom natural language understanding models to predict the overall intention of an incoming utterance and extract important information from it.
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Conversational language understanding (CLU) enables users to build custom natural language understanding models to predict the overall intention of an incoming utterance and extract important information from it.
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> [!IMPORTANT]
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> For information about pricing for conversational language understanding, see [Language service pricing](https://azure.microsoft.com/pricing/details/cognitive-services/language-service/).
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Both a Speech resource and Language resource are required to use CLU with the Speech SDK. The Speech resource is used to transcribe the user's speech into text, and the Language resource is used to recognize the intent of the utterance. To get started, see the [quickstart](get-started-intent-recognition-clu.md).
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>
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> Conversational Language Understanding (CLU) is available for C# and C++ with the [Speech SDK](speech-sdk.md) version 1.25 or later. See the [quickstart](get-started-intent-recognition-clu.md) to recognize intents with the Speech SDK and CLU.
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### LUIS key required
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* LUIS integrates with the Speech service to recognize intents from speech. You don't need a Speech service subscription, just LUIS.
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* Speech intent recognition is integrated with the Speech SDK. You can use a LUIS key with the Speech service.
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* Intent recognition through the Speech SDK is [offered in a subset of regions supported by LUIS](./regions.md#intent-recognition).
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## Get started
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See this [how-to](how-to-use-simple-language-pattern-matching.md) to get started with pattern matching.
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See this [quickstart](get-started-intent-recognition-clu.md) to get started with conversational language understanding intent recognition.
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## Sample code
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Sample code for intent recognition:
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*[Quickstart: Use prebuilt Home automation app](../luis/luis-get-started-create-app.md)
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*[Recognize intents from speech using the Speech SDK for C#](./how-to-recognize-intents-from-speech-csharp.md)
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*[Intent recognition and other Speech services using Unity in C#](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/samples/csharp/unity/speechrecognizer)
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*[Recognize intents using Speech SDK for Python](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/samples/python/console)
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*[Intent recognition and other Speech services using the Speech SDK for C++ on Windows](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/samples/cpp/windows/console)
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*[Intent recognition and other Speech services using the Speech SDK for Java on Windows or Linux](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/samples/java/jre/console)
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*[Intent recognition and other Speech services using the Speech SDK for JavaScript on a web browser](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/samples/js/browser)
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