revert PR - update references to the github samples repo after splitting speech and vision into different sub-folders.

Author: BrianMouncer

articles/cognitive-services/Speech-Service/batch-synthesis.md

@@ -26,7 +26,7 @@ This diagram provides a high-level overview of the workflow.
 ![Diagram of the Batch Synthesis API workflow.](media/long-audio-api/long-audio-api-workflow.png)
 
 > [!TIP]
-> You can also use the [Speech SDK](speech-sdk.md) to create synthesized audio longer than 10 minutes by iterating over the text and synthesizing it in chunks. For a C# example, see [GitHub](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/speech/samples/csharp/sharedcontent/console/speech_synthesis_samples.cs).
+> You can also use the [Speech SDK](speech-sdk.md) to create synthesized audio longer than 10 minutes by iterating over the text and synthesizing it in chunks. For a C# example, see [GitHub](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/csharp/sharedcontent/console/speech_synthesis_samples.cs).
 
 You can use the following REST API operations for batch synthesis:
 
@@ -37,7 +37,7 @@ You can use the following REST API operations for batch synthesis:
 | List batch synthesis   | `GET`    | texttospeech/3.1-preview1/batchsynthesis      |
 | Delete batch synthesis | `DELETE` | texttospeech/3.1-preview1/batchsynthesis/{id} |
 
-For code samples, see [GitHub](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/speech/samples/batch-synthesis).
+For code samples, see [GitHub](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/samples/batch-synthesis).
 
 ## Create batch synthesis
 

articles/cognitive-services/Speech-Service/get-started-speaker-recognition.md

@@ -61,4 +61,4 @@ keywords: speaker recognition, voice biometry
 ## Next steps
 
 > [!div class="nextstepaction"]
-> [See the quickstart samples on GitHub](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/speech/quickstart)
+> [See the quickstart samples on GitHub](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/quickstart)

articles/cognitive-services/Speech-Service/how-to-lower-speech-synthesis-latency.md

@@ -304,7 +304,7 @@ SPXConnection* connection = [[SPXConnection alloc]initFromSpeechSynthesizer:synt
 ### Reuse SpeechSynthesizer
 
 Another way to reduce the connection latency is to reuse the `SpeechSynthesizer` so you don't need to create a new `SpeechSynthesizer` for each synthesis.
-We recommend using object pool in service scenario, see our sample code for [C#](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/speech/samples/csharp/sharedcontent/console/speech_synthesis_server_scenario_sample.cs) and [Java](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/speech/samples/java/jre/console/src/com/microsoft/cognitiveservices/speech/samples/console/SpeechSynthesisScenarioSamples.java).
+We recommend using object pool in service scenario, see our sample code for [C#](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/csharp/sharedcontent/console/speech_synthesis_server_scenario_sample.cs) and [Java](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/java/jre/console/src/com/microsoft/cognitiveservices/speech/samples/console/SpeechSynthesisScenarioSamples.java).
 
 
 ## Transmit compressed audio over the network
@@ -337,7 +337,7 @@ You may use load test to test the speech synthesis service capacity and latency.
 Here are some guidelines.
 
  - The speech synthesis service has the ability to autoscale, but takes time to scale out. If the concurrency is increased in a short time, the client may get long latency or `429` error code (too many requests). So, we recommend you increase your concurrency step by step in load test. [See this article](speech-services-quotas-and-limits.md#general-best-practices-to-mitigate-throttling-during-autoscaling) for more details, especially [this example of workload patterns](speech-services-quotas-and-limits.md#example-of-a-workload-pattern-best-practice).
- - You can leverage our sample using object pool ([C#](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/speech/samples/csharp/sharedcontent/console/speech_synthesis_server_scenario_sample.cs) and [Java](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/speech/samples/java/jre/console/src/com/microsoft/cognitiveservices/speech/samples/console/SpeechSynthesisScenarioSamples.java)) for load test and getting the latency numbers. You can modify the test turns and concurrency in the sample to meet your target concurrency.
+ - You can leverage our sample using object pool ([C#](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/csharp/sharedcontent/console/speech_synthesis_server_scenario_sample.cs) and [Java](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/java/jre/console/src/com/microsoft/cognitiveservices/speech/samples/console/SpeechSynthesisScenarioSamples.java)) for load test and getting the latency numbers. You can modify the test turns and concurrency in the sample to meet your target concurrency.
  - The service has quota limitation based on the real traffic, therefore, if you want to perform load test with the concurrency much higher than your real traffic, connect before your test.
 
 ## Next steps

articles/cognitive-services/Speech-Service/how-to-pronunciation-assessment.md

@@ -684,19 +684,19 @@ Pronunciation assessment supports uninterrupted streaming mode. The recording ti
 
 ::: zone pivot="programming-language-csharp"
 
-For how to use Pronunciation Assessment in streaming mode in your own application, see [sample code](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/speech/samples/csharp/sharedcontent/console/speech_recognition_samples.cs#:~:text=PronunciationAssessmentWithStream).
+For how to use Pronunciation Assessment in streaming mode in your own application, see [sample code](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/csharp/sharedcontent/console/speech_recognition_samples.cs#:~:text=PronunciationAssessmentWithStream).
 
 ::: zone-end
 
 ::: zone pivot="programming-language-cpp"
 
-For how to use Pronunciation Assessment in streaming mode in your own application, see [sample code](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/speech/samples/cpp/windows/console/samples/speech_recognition_samples.cpp#:~:text=PronunciationAssessmentWithStream).
+For how to use Pronunciation Assessment in streaming mode in your own application, see [sample code](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/cpp/windows/console/samples/speech_recognition_samples.cpp#:~:text=PronunciationAssessmentWithStream).
 
 ::: zone-end
 
 ::: zone pivot="programming-language-java"
 
-For how to use Pronunciation Assessment in streaming mode in your own application, see [sample code](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/speech/samples/java/android/sdkdemo/app/src/main/java/com/microsoft/cognitiveservices/speech/samples/sdkdemo/MainActivity.java#L548).
+For how to use Pronunciation Assessment in streaming mode in your own application, see [sample code](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/java/android/sdkdemo/app/src/main/java/com/microsoft/cognitiveservices/speech/samples/sdkdemo/MainActivity.java#L548).
 
 ::: zone-end
 
@@ -707,7 +707,7 @@ For how to use Pronunciation Assessment in streaming mode in your own applicatio
 
 ::: zone pivot="programming-language-javascript"
 
-For how to use Pronunciation Assessment in streaming mode in your own application, see [sample code](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/speech/samples/js/node/pronunciationAssessment.js).
+For how to use Pronunciation Assessment in streaming mode in your own application, see [sample code](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/js/node/pronunciationAssessment.js).
 
 ::: zone-end
 

articles/cognitive-services/Speech-Service/includes/how-to/compressed-audio-input/cpp.md

@@ -30,7 +30,7 @@ Choose a platform for installation instructions.
 
 ## Example
 
-To configure the Speech SDK to accept compressed audio input, create `PullAudioInputStream` or `PushAudioInputStream`. Then, create an `AudioConfig` from an instance of your stream class that specifies the compression format of the stream. Find related sample code in [Speech SDK samples](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/speech/samples/cpp/windows/console/samples/speaker_recognition_samples.cpp).
+To configure the Speech SDK to accept compressed audio input, create `PullAudioInputStream` or `PushAudioInputStream`. Then, create an `AudioConfig` from an instance of your stream class that specifies the compression format of the stream. Find related sample code in [Speech SDK samples](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/cpp/windows/console/samples/speaker_recognition_samples.cpp).
 
 Let's assume that you have an input stream class called `pushStream` and are using OPUS/OGG. Your code might look like this:
 

articles/cognitive-services/Speech-Service/includes/how-to/compressed-audio-input/java.md

@@ -35,7 +35,7 @@ Choose a platform for installation instructions.
 
 ## Example
 
-To configure the Speech SDK to accept compressed audio input, create a `PullAudioInputStream` or `PushAudioInputStream`. Then, create an `AudioConfig` from an instance of your stream class that specifies the compression format of the stream. Find related sample code in [Speech SDK samples](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/speech/samples/java/android/compressed-input/app/src/main/java/com/microsoft/cognitiveservices/speech/samples/compressedinput/MainActivity.java).
+To configure the Speech SDK to accept compressed audio input, create a `PullAudioInputStream` or `PushAudioInputStream`. Then, create an `AudioConfig` from an instance of your stream class that specifies the compression format of the stream. Find related sample code in [Speech SDK samples](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/java/android/compressed-input/app/src/main/java/com/microsoft/cognitiveservices/speech/samples/compressedinput/MainActivity.java).
 
 Let's assume that you have an input stream class called `pullAudio` and are using MP3. Your code might look like this:
 

articles/cognitive-services/Speech-Service/includes/how-to/conversation-transcription/real-time-csharp.md

@@ -106,7 +106,7 @@ This sample code does the following:
 * If you want to differentiate speakers without providing voice samples, enable the `DifferentiateGuestSpeakers` feature as in [Conversation Transcription Overview](../../../conversation-transcription.md). 
 
 > [!NOTE]
-> `AudioStreamReader` is a helper class you can get on [GitHub](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/speech/quickstart/csharp/dotnet/conversation-transcription/helloworld/AudioStreamReader.cs).
+> `AudioStreamReader` is a helper class you can get on [GitHub](https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/quickstart/csharp/dotnet/conversation-transcription/helloworld/AudioStreamReader.cs).
 
 If speaker identification or differentiate is enabled, then even if you have already received `Transcribed` results, the service is still evaluating them by accumulated audio information. If the service finds that any previous result was assigned an incorrect `UserId`, then a nearly identical `Transcribed` result will be sent again, where only the `UserId` and `UtteranceId` are different. Since the `UtteranceId` format is `{index}_{UserId}_{Offset}`, when you receive a `Transcribed` result, you could use `UtteranceId` to determine if the current `Transcribed` result is going to correct a previous one. Your client or UI logic could decide behaviors, like overwriting previous output, or to ignore the latest result.
 

articles/cognitive-services/Speech-Service/includes/how-to/conversation-transcription/real-time-javascript.md

@@ -144,5 +144,5 @@ If speaker identification or differentiate is enabled, then even if you have alr
 ```
 
 See more samples on GitHub:
-- [ROOBO device sample code](https://github.com/Azure-Samples/Cognitive-Services-Speech-Devices-SDK/blob/master/speech/samples/Java/Android/Speech%20Devices%20SDK%20Starter%20App/example/app/src/main/java/com/microsoft/cognitiveservices/speech/samples/sdsdkstarterapp/ConversationTranscription.java)
-- [Azure Kinect Dev Kit sample code](https://github.com/Azure-Samples/Cognitive-Services-Speech-Devices-SDK/blob/master/speech/samples/Java/Windows_Linux/SampleDemo/src/com/microsoft/cognitiveservices/speech/samples/Cts.java)
+- [ROOBO device sample code](https://github.com/Azure-Samples/Cognitive-Services-Speech-Devices-SDK/blob/master/Samples/Java/Android/Speech%20Devices%20SDK%20Starter%20App/example/app/src/main/java/com/microsoft/cognitiveservices/speech/samples/sdsdkstarterapp/ConversationTranscription.java)
+- [Azure Kinect Dev Kit sample code](https://github.com/Azure-Samples/Cognitive-Services-Speech-Devices-SDK/blob/master/Samples/Java/Windows_Linux/SampleDemo/src/com/microsoft/cognitiveservices/speech/samples/Cts.java)

articles/cognitive-services/Speech-Service/includes/how-to/recognize-speech/cli.md

@@ -25,7 +25,7 @@ Speak into the microphone, and you see transcription of your words into text in
 
 ## Speech-to-text from an audio file
 
-The Speech CLI can recognize speech in many file formats and natural languages. In this example, you can use any WAV file (16 KHz or 8 KHz, 16-bit, and mono PCM) that contains English speech. Or if you want a quick sample, download the <a href="https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/speech/samples/csharp/sharedcontent/console/whatstheweatherlike.wav" download="whatstheweatherlike" target="_blank">whatstheweatherlike.wav <span class="docon docon-download x-hidden-focus"></span></a> file and copy it to the same directory as the Speech CLI binary file.
+The Speech CLI can recognize speech in many file formats and natural languages. In this example, you can use any WAV file (16 KHz or 8 KHz, 16-bit, and mono PCM) that contains English speech. Or if you want a quick sample, download the <a href="https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/csharp/sharedcontent/console/whatstheweatherlike.wav" download="whatstheweatherlike" target="_blank">whatstheweatherlike.wav <span class="docon docon-download x-hidden-focus"></span></a> file and copy it to the same directory as the Speech CLI binary file.
 
 Use the following command to run the Speech CLI to recognize speech found in the audio file:
 

articles/cognitive-services/Speech-Service/includes/how-to/recognize-speech/objectivec.md

@@ -14,9 +14,9 @@ ms.author: eur
 
 The [Azure-Samples/cognitive-services-speech-sdk](https://github.com/Azure-Samples/cognitive-services-speech-sdk) repository contains samples written in Objective-C for iOS and Mac. Select a link to see installation instructions for each sample:
 
-* [Recognize speech from a microphone in Objective-C on macOS](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/speech/quickstart/objectivec/macos/from-microphone)
-* [Recognize speech in Objective-C on iOS](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/speech/quickstart/objectivec/ios/from-microphone)
-* [Additional samples for Objective-C on iOS](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/speech/samples/objective-c/ios)
+* [Recognize speech from a microphone in Objective-C on macOS](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/quickstart/objectivec/macos/from-microphone)
+* [Recognize speech in Objective-C on iOS](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/quickstart/objectivec/ios/from-microphone)
+* [Additional samples for Objective-C on iOS](https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/samples/objective-c/ios)
 
 For more information, see the [Speech SDK for Objective-C reference](/objectivec/cognitive-services/speech/).