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articles/ai-services/speech-service/includes/how-to/professional-voice/create-consent/rest.md

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author: eric-urban
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With the professional voice feature, it's required that every voice be created with explicit consent from the user. A recorded statement from the user is required acknowledging that the customer (Azure AI Speech resource owner) will create and use their voice.

articles/ai-services/speech-service/includes/how-to/professional-voice/create-consent/speech-studio.md

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A voice talent is an individual or target speaker whose voices are recorded and used to create neural voice models.

articles/ai-services/speech-service/includes/how-to/professional-voice/create-project/rest.md

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Professional voice projects contain the voice talent consent statement, training datasets, voice models, and endpoints.

articles/ai-services/speech-service/includes/how-to/professional-voice/create-project/speech-studio.md

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Content for [Custom neural voice](https://aka.ms/customvoice) like data, models, tests, and endpoints are organized into projects in Speech Studio. Each project is specific to a country/region and language, and the gender of the voice you want to create. For example, you might create a project for a female voice for your call center's chat bots that use English in the United States.

articles/ai-services/speech-service/includes/how-to/professional-voice/create-training-set/rest.md

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You need a training dataset to create a professional voice. A training dataset includes audio and script files. The audio files are recordings of the voice talent reading the script files. The script files are the text of the audio files.

articles/ai-services/speech-service/includes/how-to/professional-voice/create-training-set/speech-studio.md

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When you're ready to create a custom text to speech voice for your application, the first step is to gather audio recordings and associated scripts to start training the voice model. For details on recording voice samples, see [the tutorial](../../../../record-custom-voice-samples.md). The Speech service uses this data to create a unique voice tuned to match the voice in the recordings. After you've trained the voice, you can start synthesizing speech in your applications.

articles/ai-services/speech-service/includes/how-to/professional-voice/deploy-endpoint/rest.md

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After you've successfully created and [trained](../../../../professional-voice-train-voice.md) your voice model, you deploy it to a custom neural voice endpoint.

articles/ai-services/speech-service/includes/how-to/professional-voice/deploy-endpoint/speech-studio.md

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After you've successfully created and [trained](../../../../professional-voice-train-voice.md) your voice model, you deploy it to a custom neural voice endpoint.

articles/ai-services/speech-service/includes/how-to/professional-voice/train-voice/bilingual-training.md

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If you selected the [Neural](?tabs=neural) training type, you can train a voice to speak in multiple languages. The `zh-CN` and `zh-TW` locales both support bilingual training for the voice to speak both Chinese and English. Depending in part on your training data, the synthesized voice can speak English with an English accent or English with the same native accent as the training data.

articles/ai-services/speech-service/includes/how-to/professional-voice/train-voice/rest.md

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- Set the required `projectId` property. See [create a project](../../../../professional-voice-create-project.md).
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- Set the required `consentId` property. See [add voice talent consent](../../../../professional-voice-create-consent.md).
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- Set the required `trainingSetId` property. See [create a training set](../../../../professional-voice-create-training-set.md).
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- Set the required recipe `kind` property to `Default` for neural voice training. The recipe kind indicates the training method and can't be changed later. To use a different training method, see [Neural - cross lingual](?tabs=crosslingual#create-a-voice-model) or [Neural - multi style](?tabs=multistyle#create-a-voice-model). See [Bilingual training](#bilingual-training?tabs=neural) for more information about bilingual training and differences between locales.
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- Set the required recipe `kind` property to `Default` for neural voice training. The recipe kind indicates the training method and can't be changed later. To use a different training method, see [Neural - cross lingual](?tabs=crosslingual#create-a-voice-model) or [Neural - multi style](?tabs=multistyle#create-a-voice-model). See [Bilingual training](#bilingual-training) for more information about bilingual training and differences between locales.
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- Set the required `voiceName` property. The voice name must end with "Neural" and can't be changed later. Choose a name carefully. The voice name is used in your [speech synthesis request](../../../../professional-voice-deploy-endpoint.md#use-your-custom-voice) by the SDK and SSML input. Only letters, numbers, and a few punctuation characters are allowed. Use different names for different neural voice models.
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- Optionally, set the `description` property for the voice description. The voice description can be changed later.
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