Merge pull request #281029 from eric-urban/eur/stt-fast-reference

prmerger-automator[bot] · web-flow · commit ba983458a274 · 2024-07-16T23:33:31.000Z
fast transcription API reference
diff --git a/articles/ai-services/speech-service/fast-transcription-create.md b/articles/ai-services/speech-service/fast-transcription-create.md
@@ -21,7 +21,7 @@ ms.date: 7/12/2024
 Fast transcription API is used to transcribe audio files with returning results synchronously and much faster than real-time audio. Use fast transcription in the scenarios that you need the transcript of an audio recording as quickly as possible with predictable latency, such as: 
 
 - Quick audio or video transcription, subtitles, and edit. 
-- Video dubbing  
+- Video translation
 
 > [!TIP]
 > Try out fast transcription in [Azure AI Studio](https://aka.ms/fasttranscription/studio).
@@ -261,5 +261,6 @@ The response will include `duration`, `channel`, and more. The `combinedPhrases`
 
 ## Related content
 
-- [Speech to text quickstart](./get-started-speech-to-text.md)
-- [Batch transcription API](./batch-transcription.md)
+- [Fast transcription REST API reference](/rest/api/speechtotext/transcriptions/transcribe)
+- [Speech to text supported languages](./language-support.md?tabs=stt)
+- [Batch transcription](./batch-transcription.md)
diff --git a/articles/ai-services/speech-service/includes/release-notes/release-notes-tts.md b/articles/ai-services/speech-service/includes/release-notes/release-notes-tts.md
@@ -797,7 +797,7 @@ Visit the [Audio Content Creation tool](https://speech.microsoft.com/audioconten
 
 #### New features
 - Jenny supports a new `newscast` style. See [how to use the speaking styles in SSML](../../speech-synthesis-markup-voice.md#use-speaking-styles-and-roles).
-- **Neural voices upgraded to HiFiNet vocoder, with higher audio fidelity and faster synthesis speed**. This benefits customers whose scenario relies on hi-fi audio or long interactions, including video dubbing, audio books, or online education materials. [Read more about the story and hear the voice samples on our tech community blog](https://techcommunity.microsoft.com/t5/azure-ai/azure-neural-tts-upgraded-with-hifinet-achieving-higher-audio/ba-p/1847860)
+- **Neural voices upgraded to HiFiNet vocoder, with higher audio fidelity and faster synthesis speed**. This benefits customers whose scenario relies on hi-fi audio or long interactions, including video translation, audio books, or online education materials. [Read more about the story and hear the voice samples on our tech community blog](https://techcommunity.microsoft.com/t5/azure-ai/azure-neural-tts-upgraded-with-hifinet-achieving-higher-audio/ba-p/1847860)
 - **[Custom voice](https://speech.microsoft.com/customvoice) & [Audio Content Creation Studio](https://speech.microsoft.com/audiocontentcreation) localized to 17 locales**. Users can easily switch the UI to a local language for a more friendly experience.
 - **Audio Content Creation**: Added style degree control for XiaoxiaoNeural; Refined the customized break feature to include incremental breaks of 50ms.
 
diff --git a/articles/ai-services/speech-service/language-support.md b/articles/ai-services/speech-service/language-support.md
@@ -47,6 +47,10 @@ To improve Speech to text recognition accuracy, customization is available for s
 
 These are the locales that support the [display text format feature](./how-to-custom-speech-display-text-format.md): da-DK, de-DE, en-AU, en-CA, en-GB, en-HK, en-IE, en-IN, en-NG, en-NZ, en-PH, en-SG, en-US, es-ES, es-MX, fi-FI, fr-CA, fr-FR, hi-IN, it-IT, ja-JP, ko-KR, nb-NO, nl-NL, pl-PL, pt-BR, pt-PT, sv-SE, tr-TR, zh-CN, zh-HK.
 
+### Fast transcription
+
+The supported locales for the [fast transcription API](fast-transcription-create.md) are: en-US, es-ES, es-MX, fr-FR, hi-IN, it-IT, ja-JP, ko-KR, pt-BR, and zh-CN. You can only specify one locale per transcription request.
+
 # [Text to speech](#tab/tts)
 
 The table in this section summarizes the locales and voices supported for Text to speech. See the table footnotes for more details.
diff --git a/articles/ai-services/speech-service/overview.md b/articles/ai-services/speech-service/overview.md
@@ -63,7 +63,7 @@ With [real-time speech to text](get-started-speech-to-text.md), the audio is tra
 Fast transcription API is used to transcribe audio files with returning results synchronously and much faster than real-time audio. Use fast transcription in the scenarios that you need the transcript of an audio recording as quickly as possible with predictable latency, such as: 
 
 - Quick audio or video transcription, subtitles, and edit. 
-- Video dubbing  
+- Video translation 
 
 > [!NOTE]
 > Fast transcription API is only available via the speech to text REST API version 3.3. 
diff --git a/articles/ai-services/speech-service/rest-speech-to-text.md b/articles/ai-services/speech-service/rest-speech-to-text.md
@@ -21,17 +21,18 @@ Speech to text REST API is used for [batch transcription](batch-transcription.md
 > Speech to text REST API v3.0 will be retired on April 1st, 2026. For more information about upgrading, see the Speech to text REST API [v3.0 to v3.1](migrate-v3-0-to-v3-1.md) and [v3.1 to v3.2](migrate-v3-1-to-v3-2.md) migration guides.
 
 > [!div class="nextstepaction"]
-> [See the Speech to text REST API v3.2 reference documentation](/rest/api/speechtotext/operation-groups?view=rest-speechtotext-v3.2&preserve-view=true)
+> [See the Speech to text REST API 2024-05-15 reference documentation](/rest/api/speechtotext/operation-groups?view=rest-speechtotext-2024-05-15-preview&preserve-view=true)
 
 > [!div class="nextstepaction"]
-> [See the Speech to text REST API v3.1 reference documentation](/rest/api/speechtotext/operation-groups?view=rest-speechtotext-v3.1&preserve-view=true)
+> [See the Speech to text REST API v3.2 reference documentation](/rest/api/speechtotext/operation-groups?view=rest-speechtotext-v3.2&preserve-view=true)
 
 > [!div class="nextstepaction"]
-> [See the Speech to text REST API v3.0 reference documentation](/rest/api/speechtotext/operation-groups?view=rest-speechtotext-v3.0&preserve-view=true)
+> [See the Speech to text REST API v3.1 reference documentation](/rest/api/speechtotext/operation-groups?view=rest-speechtotext-v3.1&preserve-view=true)
 
 Use Speech to text REST API to:
 
-- [Custom speech](custom-speech-overview.md): With custom speech, you can upload your own data, test and train a custom model, compare accuracy between models, and deploy a model to a custom endpoint. Copy models to other subscriptions if you want colleagues to have access to a model that you built, or if you want to deploy a model to more than one region.
+- [Fast transcription](fast-transcription-create.md): Transcribe audio files with returning results synchronously and much faster than real-time audio. Use the fast transcription API ([/speechtotext/transcriptions:transcribe](/rest/api/speechtotext/transcriptions/transcribe)) in the scenarios that you need the transcript of an audio recording as quickly as possible with predictable latency, such as quick audio or video transcription or video translation.
+- [Custom speech](custom-speech-overview.md): Upload your own data, test and train a custom model, compare accuracy between models, and deploy a model to a custom endpoint. Copy models to other subscriptions if you want colleagues to have access to a model that you built, or if you want to deploy a model to more than one region.
 - [Batch transcription](batch-transcription.md): Transcribe audio files as a batch from multiple URLs or an Azure container. 
 
 Speech to text REST API includes such features as:
diff --git a/articles/ai-services/speech-service/speech-synthesis-markup-voice.md b/articles/ai-services/speech-service/speech-synthesis-markup-voice.md
@@ -118,7 +118,7 @@ The following table describes each supported `style` attribute:
 |`style="customerservice"`|Expresses a friendly and helpful tone for customer support.|
 |`style="depressed"`|Expresses a melancholic and despondent tone with lower pitch and energy.|
 |`style="disgruntled"`|Expresses a disdainful and complaining tone. Speech of this emotion displays displeasure and contempt.|
-|`style="documentary-narration"`|Narrates documentaries in a relaxed, interested, and informative style suitable for dubbing documentaries, expert commentary, and similar content.|
+|`style="documentary-narration"`|Narrates documentaries in a relaxed, interested, and informative style suitable for documentaries, expert commentary, and similar content.|
 |`style="embarrassed"`|Expresses an uncertain and hesitant tone when the speaker is feeling uncomfortable.|
 |`style="empathetic"`|Expresses a sense of caring and understanding.|
 |`style="envious"`|Expresses a tone of admiration when you desire something that someone else has.|
diff --git a/articles/ai-services/speech-service/speech-to-text.md b/articles/ai-services/speech-service/speech-to-text.md
@@ -36,7 +36,7 @@ Real-time speech to text is available via the [Speech SDK](speech-sdk.md) and th
 Fast transcription API is used to transcribe audio files with returning results synchronously and much faster than real-time audio. Use fast transcription in the scenarios that you need the transcript of an audio recording as quickly as possible with predictable latency, such as: 
 
 - Quick audio or video transcription, subtitles, and edit. 
-- Video dubbing  
+- Video translation  
 
 > [!NOTE]
 > Fast transcription API is only available via the speech to text REST API version 2024-05-15-preview and later. 
diff --git a/articles/ai-services/speech-service/video-translation-overview.md b/articles/ai-services/speech-service/video-translation-overview.md
@@ -18,7 +18,7 @@ ms.custom: references_regions
 
 Video translation is a feature in Azure AI Speech that enables you to seamlessly translate and generate videos in multiple languages automatically. This feature is designed to help you localize your video content to cater to diverse audiences around the globe. You can efficiently create immersive, localized videos across various use cases such as vlogs, education, news, enterprise training, advertising, film, TV shows, and more.
 
-The process of replacing the original language of a video with audio recorded in a different language is often relied upon to cater to diverse audiences. Traditionally achieved through human recording and manual post-production, dubbing is essential for ensuring that viewers can enjoy video content in their native language. However, this process comes with key pain points, including its high cost, lengthy duration, and inability to replicate the original speaker's voice accurately. Video translation in Azure AI Speech addresses these challenges by providing an automated, efficient, and cost-effective solution for creating localized videos.
+The process of replacing the original language of a video with audio recorded in a different language is often relied upon to cater to diverse audiences. Traditionally achieved through human recording and manual post-production, translation is essential for ensuring that viewers can enjoy video content in their native language. However, this process comes with key pain points, including its high cost, lengthy duration, and inability to replicate the original speaker's voice accurately. Video translation in Azure AI Speech addresses these challenges by providing an automated, efficient, and cost-effective solution for creating localized videos.
 
 ## Use case 
 
@@ -50,9 +50,9 @@ We support video translation between various languages, enabling you to tailor y
 - **Translation from language A to B and large language model (LLM) reformulation.**
   
   Translates the transcribed content from the original language (Language A) to the target language (Language B) using advanced language processing techniques. Enhances translation quality and refines gender-aware translated text through LLM reformulation. 
-- **Automatic dubbing – voice generation in other language.**
+- **Automatic translation – voice generation in other language.**
   
-  Utilizes AI-powered text-to-speech technology to automatically generate human-like voices in the target language. These voices are precisely synchronized with the video, ensuring a flawless dubbing experience. This includes utilizing prebuilt neural voices for high-quality output and offering options for personal voice. 
+  Utilizes AI-powered text-to-speech technology to automatically generate human-like voices in the target language. These voices are precisely synchronized with the video, ensuring a flawless translation experience. This includes utilizing prebuilt neural voices for high-quality output and offering options for personal voice. 
 - **Human in the loop for content editing.**
   
   Allows for human intervention to review and edit the translated content, ensuring accuracy and cultural appropriateness before finalizing the dubbed video. 
