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DEFINE SPEEK CODE

StyleĮxpresses an excited and high-energy tone for promoting a product or service.Įxpresses a warm and affectionate tone, with higher pitch and vocal energy. The following table has descriptions of each supported style. This SSML snippet illustrates how the element is used to change the speaking style to cheerful. You can also optimize the voice for different scenarios like customer service, newscast, and voice assistant.įor a list of supported styles per neural voice, see supported voice styles and roles. You use the mstts:express-as element to express emotions like cheerfulness, empathy, and calm. Role adjustments are supported for these Chinese (Mandarin, Simplified) neural voices: zh-CN-XiaomoNeural, zh-CN-XiaoxuanNeural, zh-CN-YunxiNeural, and zh-CN-YunyeNeural. The voice acts as a different age and gender, but the voice name isn't changed. Speaking style degree adjustments are supported for Chinese (Mandarin, Simplified) neural voices. If you don't set the style attribute, the styledegree attribute is ignored.

A value of 2 results in a doubling of the default style intensity. The minimum unit is 0.01, which results in a slight tendency for the target style. The default value is 1, which means the predefined style intensity. Specifies the intensity of the speaking style. If an invalid value is provided, this element is ignored. If you're using mstts:express-as, the style must be provided. Required if adjusting the speaking style for a neural voice.

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To determine what styles and roles are supported for each voice, use: If a style or role isn't supported, the service uses the default neutral speech. Styles, style degree, and roles are supported for a subset of neural voices. You can adjust the speaking style, style degree, and role at the sentence level. For each voice, the text must be wrapped in a voice element.īy default, text-to-speech synthesizes text by using a neutral speaking style for neural voices. These voices can be in different languages. Within the speak element, you can specify multiple voices for text-to-speech output. For a complete list of supported voices, see Language support. This example uses the en-US-JennyNeural voice. Identifies the voice used for text-to-speech output. This text will get converted into synthesized speech. It's used to specify the voice that's used for text-to-speech. Specifies the URI to the document that defines the markup vocabulary (the element types and attribute names) of the SSML document.

DEFINE SPEEK CODE

Or the value can contain the language code and uppercase country/region, for example, en-US. The value can contain a lowercase, two-letter language code, for example, en. Specifies the language of the root document. Indicates the version of the SSML specification used to interpret the document markup. The speak element contains important information, such as version, language, and the markup vocabulary definition. SSML might not recognize attribute values that aren't in double quotation marks.

For example, is a well-formed, valid element, but is not. Standards for well-formed, valid XML requires attribute values to be enclosed in double quotation marks.

Don't forget to use double quotation marks around attribute values.