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Author: ktoliver

articles/cognitive-services/Speech-Service/text-to-speech.md

@@ -30,7 +30,7 @@ Text-to-speech from the Speech service enables your applications, tools, or devi
 
 * Neural voices - Deep neural networks are used to overcome the limits of traditional speech synthesis with regards to stress and intonation in spoken language. Prosody prediction and voice synthesis are performed simultaneously, which results in more fluid and natural-sounding outputs. Neural voices can be used to make interactions with chatbots and voice assistants more natural and engaging, convert digital texts such as e-books into audiobooks, and enhance in-car navigation systems. With the human-like natural prosody and clear articulation of words, neural voices significantly reduce listening fatigue when you interact with AI systems. For a full list of neural voices, see [supported languages](language-support.md#text-to-speech).
 
-* Speech Synthesis Markup Language (SSML) - An XML-based markup language used to customize speech-to-text outputs. With SSML, you can adjust pitch, add pauses, improve pronunciation, speed up or slow down speaking rate, increase or decrease volume, and attribute multiple voices to a single document. [See SSML](speech-synthesis-markup.md).
+* Speech Synthesis Markup Language (SSML) - An XML-based markup language used to customize speech-to-text outputs. With SSML, you can adjust pitch, add pauses, improve pronunciation, speed up or slow down speaking rate, increase or decrease volume, and attribute multiple voices to a single document. See [SSML](speech-synthesis-markup.md).
 
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