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README.md

@@ -63,9 +63,11 @@ Matcha-LJSpeech is trained on espeak en-us IPA, but espeak is GPL. The clean rep
 Clear BSD) as primary + [DeepPhonemizer](https://github.com/as-ideas/DeepPhonemizer) (MIT) on
 LiteRT CPU for out-of-dictionary words. Output IPA maps 1:1 onto the keithito 178-symbol set.
 
-## Android sample
+## Sample
 
-Full sample app + conversion scripts: [LiteRT-Models / matcha](https://github.com/john-rocky/LiteRT-Models/tree/main/matcha).
+See the LiteRT `compiled_model_api/text_to_speech` sample (Matcha-TTS) in
+[google-ai-edge/litert-samples](https://github.com/google-ai-edge/litert-samples) for the full
+Android app and the conversion scripts.
 
 ## License