Merge pull request #223259 from eric-urban/eur/language-tabs

Split tables for STT and TTS locales

Author: 19BMG00

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

@@ -361,8 +361,8 @@ Batch synthesis properties are described in the following table.
 |`synthesisConfig`|The configuration settings to use for batch synthesis of plain text.<br/><br/>This property is only applicable when `textType` is set to `"PlainText"`.|
 |`synthesisConfig.pitch`|The pitch of the audio output.<br/><br/>For information about the accepted values, see the [adjust prosody](speech-synthesis-markup-voice.md#adjust-prosody) table in the Speech Synthesis Markup Language (SSML) documentation. Invalid values are ignored.<br/><br/>This optional property is only applicable when `textType` is set to `"PlainText"`.|
 |`synthesisConfig.rate`|The rate of the audio output.<br/><br/>For information about the accepted values, see the [adjust prosody](speech-synthesis-markup-voice.md#adjust-prosody) table in the Speech Synthesis Markup Language (SSML) documentation. Invalid values are ignored.<br/><br/>This optional property is only applicable when `textType` is set to `"PlainText"`.|
-|`synthesisConfig.style`|For some voices, you can adjust the speaking style to express different emotions like cheerfulness, empathy, and calm. You can optimize the voice for different scenarios like customer service, newscast, and voice assistant.<br/><br/>For information about the available styles per voice, see [voice styles and roles](language-support.md?tabs=stt-tts#voice-styles-and-roles).<br/><br/>This optional property is only applicable when `textType` is set to `"PlainText"`.|
-|`synthesisConfig.voice`|The voice that speaks the audio output.<br/><br/>For information about the available prebuilt neural voices, see [language and voice support](language-support.md?tabs=stt-tts). To use a custom voice, you must specify a valid custom voice and deployment ID mapping in the `customVoices` property.<br/><br/>This property is required when `textType` is set to `"PlainText"`.|
+|`synthesisConfig.style`|For some voices, you can adjust the speaking style to express different emotions like cheerfulness, empathy, and calm. You can optimize the voice for different scenarios like customer service, newscast, and voice assistant.<br/><br/>For information about the available styles per voice, see [voice styles and roles](language-support.md?tabs=tts#voice-styles-and-roles).<br/><br/>This optional property is only applicable when `textType` is set to `"PlainText"`.|
+|`synthesisConfig.voice`|The voice that speaks the audio output.<br/><br/>For information about the available prebuilt neural voices, see [language and voice support](language-support.md?tabs=tts). To use a custom voice, you must specify a valid custom voice and deployment ID mapping in the `customVoices` property.<br/><br/>This property is required when `textType` is set to `"PlainText"`.|
 |`synthesisConfig.volume`|The volume of the audio output.<br/><br/>For information about the accepted values, see the [adjust prosody](speech-synthesis-markup-voice.md#adjust-prosody) table in the Speech Synthesis Markup Language (SSML) documentation. Invalid values are ignored.<br/><br/>This optional property is only applicable when `textType` is set to `"PlainText"`.|
 |`textType`|Indicates whether the `inputs` text property should be plain text or SSML. The possible case-insensitive values are "PlainText" and "SSML". When the `textType` is set to `"PlainText"`, you must also set the `synthesisConfig` voice property.<br/><br/>This property is required.|
 

articles/cognitive-services/Speech-Service/conversation-transcription.md

@@ -82,7 +82,7 @@ Audio data is processed live to return the speaker identifier and transcript, an
 
 ## Language support
 
-Currently, conversation transcription supports [all speech-to-text languages](language-support.md?tabs=stt-tts) in the following regions: `centralus`, `eastasia`, `eastus`, `westeurope`.
+Currently, conversation transcription supports [all speech-to-text languages](language-support.md?tabs=stt) in the following regions: `centralus`, `eastasia`, `eastus`, `westeurope`.
 
 ## Next steps
 

articles/cognitive-services/Speech-Service/custom-neural-voice-lite.md

@@ -21,7 +21,7 @@ Speech Studio provides two Custom Neural Voice (CNV) project types: CNV Lite and
 
 With a CNV Lite project, you record your voice online by reading 20-50 pre-defined scripts provided by Microsoft. After you've recorded at least 20 samples, you can start to train a model. Once the model is trained successfully, you can review the model and check out 20 output samples produced with another set of pre-defined scripts.
 
-See the [supported languages](language-support.md?tabs=stt-tts) for Custom Neural Voice.
+See the [supported languages](language-support.md?tabs=tts) for Custom Neural Voice.
 
 ## Compare project types
 

articles/cognitive-services/Speech-Service/custom-neural-voice.md

@@ -19,9 +19,9 @@ Custom Neural Voice (CNV) is a text-to-speech feature that lets you create a one
 > [!IMPORTANT]
 > Custom Neural Voice access is [limited](/legal/cognitive-services/speech-service/custom-neural-voice/limited-access-custom-neural-voice?context=%2fazure%2fcognitive-services%2fspeech-service%2fcontext%2fcontext) based on eligibility and usage criteria. Request access on the [intake form](https://aka.ms/customneural).
 
-Out of the box, [text-to-speech](text-to-speech.md) can be used with prebuilt neural voices for each [supported language](language-support.md?tabs=stt-tts). The prebuilt neural voices work very well in most text-to-speech scenarios if a unique voice isn't required.
+Out of the box, [text-to-speech](text-to-speech.md) can be used with prebuilt neural voices for each [supported language](language-support.md?tabs=tts). The prebuilt neural voices work very well in most text-to-speech scenarios if a unique voice isn't required.
 
-Custom Neural Voice is based on the neural text-to-speech technology and the multilingual, multi-speaker, universal model. You can create synthetic voices that are rich in speaking styles, or adaptable cross languages. The realistic and natural sounding voice of Custom Neural Voice can represent brands, personify machines, and allow users to interact with applications conversationally. See the [supported languages](language-support.md?tabs=stt-tts) for Custom Neural Voice.
+Custom Neural Voice is based on the neural text-to-speech technology and the multilingual, multi-speaker, universal model. You can create synthetic voices that are rich in speaking styles, or adaptable cross languages. The realistic and natural sounding voice of Custom Neural Voice can represent brands, personify machines, and allow users to interact with applications conversationally. See the [supported languages](language-support.md?tabs=tts) for Custom Neural Voice.
 
 ## How does it work?
 

articles/cognitive-services/Speech-Service/custom-speech-overview.md

@@ -17,7 +17,7 @@ ms.custom: contperf-fy21q2, references_regions
 
 With Custom Speech, you can evaluate and improve the Microsoft speech-to-text accuracy for your applications and products. 
 
-Out of the box, speech to text utilizes a Universal Language Model as a base model that is trained with Microsoft-owned data and reflects commonly used spoken language. The base model is pre-trained with dialects and phonetics representing a variety of common domains. When you make a speech recognition request, the most recent base model for each [supported language](language-support.md?tabs=stt-tts) is used by default. The base model works very well in most speech recognition scenarios.
+Out of the box, speech to text utilizes a Universal Language Model as a base model that is trained with Microsoft-owned data and reflects commonly used spoken language. The base model is pre-trained with dialects and phonetics representing a variety of common domains. When you make a speech recognition request, the most recent base model for each [supported language](language-support.md?tabs=stt) is used by default. The base model works very well in most speech recognition scenarios.
 
 A custom model can be used to augment the base model to improve recognition of domain-specific vocabulary specific to the application by providing text data to train the model. It can also be used to improve recognition based for the specific audio conditions of the application by providing audio data with reference transcriptions.  
 

articles/cognitive-services/Speech-Service/direct-line-speech.md

@@ -51,7 +51,7 @@ Sample code for creating a voice assistant is available on GitHub. These samples
 Voice assistants built using Speech service can use the full range of customization options available for [speech-to-text](speech-to-text.md), [text-to-speech](text-to-speech.md), and [custom keyword selection](./custom-keyword-basics.md).
 
 > [!NOTE]
-> Customization options vary by language/locale (see [Supported languages](./language-support.md?tabs=stt-tts)).
+> Customization options vary by language/locale (see [Supported languages](./language-support.md?tabs=stt)).
 
 Direct Line Speech and its associated functionality for voice assistants are an ideal supplement to the [Virtual Assistant Solution and Enterprise Template](/azure/bot-service/bot-builder-enterprise-template-overview). Though Direct Line Speech can work with any compatible bot, these resources provide a reusable baseline for high-quality conversational experiences as well as common supporting skills and models to get started quickly.
 

articles/cognitive-services/Speech-Service/how-to-audio-content-creation.md

@@ -23,7 +23,7 @@ The tool is based on [Speech Synthesis Markup Language (SSML)](speech-synthesis-
 - No-code approach: You can use the Audio Content Creation tool for text-to-speech synthesis without writing any code. The output audio might be the final deliverable that you want. For example, you can use the output audio for a podcast or a video narration. 
 - Developer-friendly: You can listen to the output audio and adjust the SSML to improve speech synthesis. Then you can use the [Speech SDK](speech-sdk.md) or [Speech CLI](spx-basics.md) to integrate the SSML into your applications. For example, you can use the SSML for building a chat bot.
 
-You have easy access to a broad portfolio of [languages and voices](language-support.md?tabs=stt-tts). These voices include state-of-the-art prebuilt neural voices and your custom neural voice, if you've built one.
+You have easy access to a broad portfolio of [languages and voices](language-support.md?tabs=tts). These voices include state-of-the-art prebuilt neural voices and your custom neural voice, if you've built one.
 
 To learn more, view the Audio Content Creation tutorial video [on YouTube](https://youtu.be/ygApYuOOG6w).
 
@@ -75,7 +75,7 @@ Each step in the preceding diagram is described here:
 1. Choose the Speech resource you want to work with.
 
 1. [Create an audio tuning file](#create-an-audio-tuning-file) by using plain text or SSML scripts. Enter or upload your content into Audio Content Creation.
-1. Choose the voice and the language for your script content. Audio Content Creation includes all of the [prebuilt text-to-speech voices](language-support.md?tabs=stt-tts). You can use prebuilt neural voices or a custom neural voice.
+1. Choose the voice and the language for your script content. Audio Content Creation includes all of the [prebuilt text-to-speech voices](language-support.md?tabs=tts). You can use prebuilt neural voices or a custom neural voice.
 
    > [!NOTE]
    > Gated access is available for Custom Neural Voice, which allows you to create high-definition voices that are similar to natural-sounding speech. For more information, see [Gating process](./text-to-speech.md).

articles/cognitive-services/Speech-Service/how-to-custom-speech-create-project.md

@@ -15,7 +15,7 @@ zone_pivot_groups: speech-studio-cli-rest
 
 # Create a Custom Speech project
 
-Custom Speech projects contain models, training and testing datasets, and deployment endpoints. Each project is specific to a [locale](language-support.md?tabs=stt-tts). For example, you might create a project for English in the United States.
+Custom Speech projects contain models, training and testing datasets, and deployment endpoints. Each project is specific to a [locale](language-support.md?tabs=stt). For example, you might create a project for English in the United States.
 
 ## Create a project
 

articles/cognitive-services/Speech-Service/how-to-custom-speech-model-and-endpoint-lifecycle.md

@@ -42,7 +42,7 @@ When a custom model or base model expires, it is no longer available for transcr
 
 |Transcription route  |Expired model result  |Recommendation  |
 |---------|---------|---------|
-|Custom endpoint|Speech recognition requests will fall back to the most recent base model for the same [locale](language-support.md?tabs=stt-tts). You will get results, but recognition might not accurately transcribe your domain data.  |Update the endpoint's model as described in the [Deploy a Custom Speech model](how-to-custom-speech-deploy-model.md) guide. |
+|Custom endpoint|Speech recognition requests will fall back to the most recent base model for the same [locale](language-support.md?tabs=stt). You will get results, but recognition might not accurately transcribe your domain data.  |Update the endpoint's model as described in the [Deploy a Custom Speech model](how-to-custom-speech-deploy-model.md) guide. |
 |Batch transcription |[Batch transcription](batch-transcription.md) requests for expired models will fail with a 4xx error. |In each [Transcriptions_Create](https://eastus.dev.cognitive.microsoft.com/docs/services/speech-to-text-api-v3-1/operations/Transcriptions_Create) REST API request body, set the `model` property to a base model or custom model that hasn't yet expired. Otherwise don't include the `model` property to always use the latest base model. |
 
 

articles/cognitive-services/Speech-Service/how-to-custom-speech-test-and-train.md

@@ -73,7 +73,7 @@ You can use audio + human-labeled transcript data for both [training](how-to-cus
 - To improve the acoustic aspects like slight accents, speaking styles, and background noises.
 - To measure the accuracy of Microsoft's speech-to-text accuracy when it's processing your audio files. 
 
-For a list of base models that support training with audio data, see [Language support](language-support.md?tabs=stt-tts). Even if a base model does support training with audio data, the service might use only part of the audio. And it will still use all the transcripts.
+For a list of base models that support training with audio data, see [Language support](language-support.md?tabs=stt). Even if a base model does support training with audio data, the service might use only part of the audio. And it will still use all the transcripts.
 
 > [!IMPORTANT]
 > If a base model doesn't support customization with audio data, only the transcription text will be used for training. If you switch to a base model that supports customization with audio data, the training time may increase from several hours to several days. The change in training time would be most noticeable when you switch to a base model in a [region](regions.md#speech-service) without dedicated hardware for training. If the audio data is not required, you should remove it to decrease the training time. 
@@ -143,7 +143,7 @@ Expected utterances often follow a certain pattern. One common pattern is that u
 * "I have a question about `product`," where `product` is a list of possible products. 
 * "Make that `object` `color`," where `object` is a list of geometric shapes and `color` is a list of colors. 
 
-For a list of supported base models and locales for training with structured text, see [Language support](language-support.md?tabs=stt-tts). You must use the latest base model for these locales. For locales that don't support training with structured text, the service will take any training sentences that don't reference any classes as part of training with plain-text data. 
+For a list of supported base models and locales for training with structured text, see [Language support](language-support.md?tabs=stt). You must use the latest base model for these locales. For locales that don't support training with structured text, the service will take any training sentences that don't reference any classes as part of training with plain-text data. 
 
 The structured-text file should have an .md extension. The maximum file size is 200 MB, and the text encoding must be UTF-8 BOM. The syntax of the Markdown is the same as that from the Language Understanding models, in particular list entities and example utterances. For more information about the complete Markdown syntax, see the <a href="/azure/bot-service/file-format/bot-builder-lu-file-format" target="_blank"> Language Understanding Markdown</a>. 
 
@@ -202,7 +202,7 @@ Here's an example structured text file:
 
 Specialized or made up words might have unique pronunciations. These words can be recognized if they can be broken down into smaller words to pronounce them. For example, to recognize "Xbox", pronounce it as "X box". This approach won't increase overall accuracy, but can improve recognition of this and other keywords.
 
-You can provide a custom pronunciation file to improve recognition. Don't use custom pronunciation files to alter the pronunciation of common words. For a list of languages that support custom pronunciation, see [language support](language-support.md?tabs=stt-tts).
+You can provide a custom pronunciation file to improve recognition. Don't use custom pronunciation files to alter the pronunciation of common words. For a list of languages that support custom pronunciation, see [language support](language-support.md?tabs=stt).
 
 > [!NOTE]
 > You can use a pronunciation file alongside any other training dataset except structured text training data. To use pronunciation data with structured text, it must be within a structured text file.