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custom voice terminology update
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articles/ai-services/speech-service/custom-neural-voice-lite.md

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@@ -43,7 +43,7 @@ To create a custom voice lite project, follow these steps:
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1. Sign in to the [Speech Studio](https://aka.ms/speechstudio/customvoice).
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1. Select the subscription and Speech resource to work with.
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1. Select **Custom voice** > **Create a project**.
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1. Select **Custom voice lite** > **Next**. To create a custom voice professional project instead, see [Create a project for custom voice](professional-voice-create-project.md).
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1. Select **Custom neural voice lite** > **Next**. To create a custom voice professional project instead, see the [professional voice fine-tuning documentation](professional-voice-create-project.md).
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1. Follow the instructions provided by the wizard to create your project.
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articles/ai-services/speech-service/faq-tts.yml

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- question: |
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How does cross-lingual voice work with languages that have different pronunciation structure and assembly?
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Sentence structure and pronunciation naturally vary across languages such as English and Japanese. Each neural voice is trained with audio data recorded by native speaking voice talent. For [cross lingual](professional-voice-train-voice.md?tabs=crosslingual#train-your-custom-neural-voice-model) voice, we transfer the major features like timbre to sound like the original speaker and preserve the right pronunciation. For example, a cross-lingual voice uses the native way to speak Japanese and still sounds similar (but not exactly) like the original English speaker.
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Sentence structure and pronunciation naturally vary across languages such as English and Japanese. Each neural voice is trained with audio data recorded by native speaking voice talent. For [cross lingual](professional-voice-train-voice.md?tabs=crosslingual#train-your-custom-voice-model) voice, we transfer the major features like timbre to sound like the original speaker and preserve the right pronunciation. For example, a cross-lingual voice uses the native way to speak Japanese and still sounds similar (but not exactly) like the original English speaker.
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Can I use professional voice fine-tuning to customize pronunciation for my domain?
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answer: |

articles/ai-services/speech-service/gaming-concepts.md

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## Text to speech
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Help bring everyone into the conversation by converting text messages to audio using [Text to speech](text-to-speech.md) for scenarios, such as game dialogue prototyping, greater accessibility, or nonplayable character (NPC) voices. Text to speech includes [standard voice](language-support.md?tabs=tts#standard-voices) and [custom voice](language-support.md?tabs=tts#custom-voice) features. Standard voice can provide highly natural out-of-box voices with leading voice variety in terms of a large portfolio of languages and voices. Custom voice is an easy-to-use self-service for creating a highly natural custom voice.
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Help bring everyone into the conversation by converting text messages to audio using [Text to speech](text-to-speech.md) for scenarios, such as game dialogue prototyping, greater accessibility, or nonplayable character (NPC) voices. Text to speech includes [standard voice](language-support.md?tabs=tts#standard-voices) and [custom voice](language-support.md?tabs=tts#professional-voice) features. Standard voice can provide highly natural out-of-box voices with leading voice variety in terms of a large portfolio of languages and voices. Custom voice is an easy-to-use self-service for creating a highly natural custom voice.
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When enabling this functionality in your game, keep in mind the following benefits:
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articles/ai-services/speech-service/includes/how-to/professional-voice/train-voice/ai-foundry.md

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After you validate your data files, use them to build your custom voice model. When you create a custom voice, you can choose to train it with one of the following methods:
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- [Neural](?tabs=neural#train-your-custom-neural-voice-model): Create a voice in the same language of your training data.
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- [Neural](?tabs=neural#train-your-custom-voice-model): Create a voice in the same language of your training data.
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- [Neural - cross lingual](?tabs=crosslingual#train-your-custom-neural-voice-model): Create a voice that speaks a different language from your training data. For example, with the `zh-CN` training data, you can create a voice that speaks `en-US`.
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- [Neural - cross lingual](?tabs=crosslingual#train-your-custom-voice-model): Create a voice that speaks a different language from your training data. For example, with the `zh-CN` training data, you can create a voice that speaks `en-US`.
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The language of the training data and the target language must both be one of the [languages that are supported](../../../../language-support.md?tabs=tts#custom-voice) for cross lingual voice training. You don't need to prepare training data in the target language, but your test script must be in the target language.
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- [Neural - multi style](?tabs=multistyle#train-your-custom-neural-voice-model): Create a custom voice that speaks in multiple styles and emotions, without adding new training data. Multiple style voices are useful for video game characters, conversational chatbots, audiobooks, content readers, and more.
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- [Neural - multi style](?tabs=multistyle#train-your-custom-voice-model): Create a custom voice that speaks in multiple styles and emotions, without adding new training data. Multiple style voices are useful for video game characters, conversational chatbots, audiobooks, content readers, and more.
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To create a multiple style voice, you need to prepare a set of general training data, at least 300 utterances. Select one or more of the preset target speaking styles. You can also create multiple custom styles by providing style samples, of at least 100 utterances per style, as extra training data for the same voice. The supported preset styles vary according to different languages. See [available preset styles across different languages](?tabs=multistyle#available-preset-styles-across-different-languages).
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- [Neural - multi lingual (preview)](?tabs=multilingual#train-your-custom-neural-voice-model): Create a voice that speaks multiple languages using the single-language training data. For example, with the `en-US` primary training data, you can create a voice that speaks `en-US`, `de-DE`, `zh-CN` etc. secondary languages.
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- [Neural - multi lingual (preview)](?tabs=multilingual#train-your-custom-voice-model): Create a voice that speaks multiple languages using the single-language training data. For example, with the `en-US` primary training data, you can create a voice that speaks `en-US`, `de-DE`, `zh-CN` etc. secondary languages.
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The primary language of the training data and the secondary languages must be in the [languages that are supported](../../../../language-support.md?tabs=tts#custom-voice) for multi lingual voice training. You don't need to prepare training data in the secondary languages.
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1. Select **Fine-tuning** from the left pane and then select **AI Service fine-tuning**.
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1. Select the professional voice fine-tuning task (by model name) that you [started as described in the create professional voice article](/azure/ai-services/speech-service/professional-voice-create-project).
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1. Select **Train model** > **+ Train model**.
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1. Select **Neural** as the [training method](#choose-a-training-method) for your model. To use a different training method, see [Neural - cross lingual](?tabs=crosslingual#train-your-custom-neural-voice-model), [Neural - multi style](?tabs=multistyle#train-your-custom-neural-voice-model), [Neural - multi lingual (preview)](?tabs=multilingual#train-your-custom-neural-voice-model), or [Neural - HD Voice (preview)](?tabs=hdvoice#train-your-custom-neural-voice-model).
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1. Select **Neural** as the [training method](#choose-a-training-method) for your model. To use a different training method, see [Neural - cross lingual](?tabs=crosslingual#train-your-custom-voice-model), [Neural - multi style](?tabs=multistyle#train-your-custom-voice-model), [Neural - multi lingual (preview)](?tabs=multilingual#train-your-custom-voice-model), or [Neural - HD Voice (preview)](?tabs=hdvoice#train-your-custom-voice-model).
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:::image type="content" source="../../../../media/custom-voice/professional-voice/cnv-train-neural.png" alt-text="Screenshot that shows how to select neural training." lightbox="../../../../media/custom-voice/professional-voice/cnv-train-neural.png":::
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1. Select **Fine-tuning** from the left pane and then select **AI Service fine-tuning**.
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1. Select the professional voice fine-tuning task (by model name) that you [started as described in the create professional voice article](/azure/ai-services/speech-service/professional-voice-create-project).
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1. Select **Train model** > **+ Train model**.
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1. Select **Neural - Cross lingual** as the [training method](#choose-a-training-method) for your model. To use a different training method, see [Neural](?tabs=neural#train-your-custom-neural-voice-model), [Neural - multi style](?tabs=multistyle#train-your-custom-neural-voice-model), [Neural - multi lingual (preview)](?tabs=multilingual#train-your-custom-neural-voice-model), or [Neural - HD Voice (preview)](?tabs=hdvoice#train-your-custom-neural-voice-model).
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1. Select **Neural - Cross lingual** as the [training method](#choose-a-training-method) for your model. To use a different training method, see [Neural](?tabs=neural#train-your-custom-voice-model), [Neural - multi style](?tabs=multistyle#train-your-custom-voice-model), [Neural - multi lingual (preview)](?tabs=multilingual#train-your-custom-voice-model), or [Neural - HD Voice (preview)](?tabs=hdvoice#train-your-custom-voice-model).
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:::image type="content" source="../../../../media/custom-voice/professional-voice/cnv-train-neural-cross-lingual.png" alt-text="Screenshot that shows how to select neural cross lingual training." lightbox="../../../../media/custom-voice/professional-voice/cnv-train-neural-cross-lingual.png":::
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1. Select **Fine-tuning** from the left pane and then select **AI Service fine-tuning**.
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1. Select the professional voice fine-tuning task (by model name) that you [started as described in the create professional voice article](/azure/ai-services/speech-service/professional-voice-create-project).
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1. Select **Train model** > **+ Train model**.
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1. Select **Neural - multi style** as the [training method](#choose-a-training-method) for your model. To use a different training method, see [Neural](?tabs=neural#train-your-custom-neural-voice-model), [Neural - cross lingual](?tabs=crosslingual#train-your-custom-neural-voice-model), [Neural - multi lingual (preview)](?tabs=multilingual#train-your-custom-neural-voice-model), or [Neural - HD Voice (preview)](?tabs=hdvoice#train-your-custom-neural-voice-model).
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1. Select **Neural - multi style** as the [training method](#choose-a-training-method) for your model. To use a different training method, see [Neural](?tabs=neural#train-your-custom-voice-model), [Neural - cross lingual](?tabs=crosslingual#train-your-custom-voice-model), [Neural - multi lingual (preview)](?tabs=multilingual#train-your-custom-voice-model), or [Neural - HD Voice (preview)](?tabs=hdvoice#train-your-custom-voice-model).
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:::image type="content" source="../../../../media/custom-voice/professional-voice/cnv-train-neural-multi-style.png" alt-text="Screenshot that shows how to select neural multi style training." lightbox="../../../../media/custom-voice/professional-voice/cnv-train-neural-multi-style.png":::
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1. Select **Fine-tuning** from the left pane and then select **AI Service fine-tuning**.
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1. Select the professional voice fine-tuning task (by model name) that you [started as described in the create professional voice article](/azure/ai-services/speech-service/professional-voice-create-project).
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1. Select **Train model** > **+ Train model**.
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1. Select **Neural - multi lingual** as the [training method](#choose-a-training-method) for your model. To use a different training method, see [Neural](?tabs=neural#train-your-custom-neural-voice-model), [Neural - cross lingual](?tabs=crosslingual#train-your-custom-neural-voice-model), [Neural - multi style](?tabs=multistyle#train-your-custom-neural-voice-model), or [Neural - HD Voice (preview)](?tabs=hdvoice#train-your-custom-neural-voice-model).
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1. Select **Neural - multi lingual** as the [training method](#choose-a-training-method) for your model. To use a different training method, see [Neural](?tabs=neural#train-your-custom-voice-model), [Neural - cross lingual](?tabs=crosslingual#train-your-custom-voice-model), [Neural - multi style](?tabs=multistyle#train-your-custom-voice-model), or [Neural - HD Voice (preview)](?tabs=hdvoice#train-your-custom-voice-model).
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:::image type="content" source="../../../../media/custom-voice/professional-voice/cnv-train-neural-multi-lingual.png" alt-text="Screenshot that shows how to select neural multi lingual training." lightbox="../../../../media/custom-voice/professional-voice/cnv-train-neural-multi-lingual.png":::
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# [Neural - HD Voice (preview)](#tab/hdvoice)
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HD voice training isn't yet supported in the Azure AI Foundry portal. To train an HD voice, you must use the [Speech Studio](https://speech.microsoft.com/portal). For more information, see [the corresponding Speech Studio documentation](?tabs=hdvoice&pivots=speech-studio#train-your-custom-neural-voice-model).
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HD voice training isn't yet supported in the Azure AI Foundry portal. To train an HD voice, you must use the [Speech Studio](https://speech.microsoft.com/portal). For more information, see [the corresponding Speech Studio documentation](?tabs=hdvoice&pivots=speech-studio#train-your-custom-voice-model).
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---
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After your voice model is successfully built, you can use the generated sample audio files to test it before you deploy it.
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> [!NOTE]
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> [Neural - multi lingual (preview)](?tabs=multilingual#train-your-custom-neural-voice-model) and [Neural - HD Voice (preview)](?tabs=hdvoice#train-your-custom-neural-voice-model) do not support this type of testing.
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> [Neural - multi lingual (preview)](?tabs=multilingual#train-your-custom-voice-model) and [Neural - HD Voice (preview)](?tabs=hdvoice#train-your-custom-voice-model) do not support this type of testing.
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The quality of the voice depends on many factors, such as:
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