Update articles/cognitive-services/Speech-Service/overview.md

Co-authored-by: Eric Urban <[email protected]>

Author: sally-baolian

articles/cognitive-services/Speech-Service/overview.md

@@ -28,7 +28,7 @@ Common scenarios for speech include:
 - [Captioning](./captioning-concepts.md): Learn how to synchronize captions with your input audio, apply profanity filters, get partial results, apply customizations, and identify spoken languages for multilingual scenarios.
 - [Audio Content Creation](text-to-speech.md#more-about-neural-text-to-speech-features): You can use neural voices 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.
 - [Call Center](call-center-overview.md): Transcribe calls in real-time or process a batch of calls, redact personally identifying information, and extract insights such as sentiment to help with your call center use case.
-- [Language learning](language-learning-overview.md): Provide speaking feedback to language leaners, support real-time transcription for remote learning conversations, and read aloud teaching materials with neural voices, empowering practice anytime and anywhere.
+- [Language learning](language-learning-overview.md): Provide pronunciation assessment feedback to language learners, support real-time transcription for remote learning conversations, and read aloud teaching materials with neural voices.
 - [Voice assistants](voice-assistants.md): Create natural, humanlike conversational interfaces for their applications and experiences. The voice assistant feature provides fast, reliable interaction between a device and an assistant implementation.
 
 Microsoft uses Speech for many scenarios, such as captioning in Teams, dictation in Office 365, and Read Aloud in the Edge browser.