Update README.md

README.md

@@ -1,14 +1,15 @@
 ---
-language: "en"
+language:
+- lg
 tags:
 - text-to-speech
 - TTS
 - speech-synthesis
 - Tacotron2
 - speechbrain
-license: "apache-2.0"
+license: apache-2.0
 datasets:
-- LJSpeech
+- SALT-TTS
 metrics:
 - mos
 ---
@@ -39,7 +40,7 @@ from speechbrain.pretrained import Tacotron2
 from speechbrain.pretrained import HIFIGAN
 
 # Intialize TTS (tacotron2) and Vocoder (HiFIGAN)
-tacotron2 = Tacotron2.from_hparams(source="speechbrain/tts-tacotron2-ljspeech", savedir="tmpdir_tts")
+tacotron2 = Tacotron2.from_hparams(source="sunbird/sunbird-lug-tts-commonvoice-male", savedir="tmpdir_tts")
 hifi_gan = HIFIGAN.from_hparams(source="speechbrain/tts-hifigan-ljspeech", savedir="tmpdir_vocoder")
 
 # Running the TTS
@@ -58,9 +59,9 @@ If you want to generate multiple sentences in one-shot, you can do in this way:
 from speechbrain.pretrained import Tacotron2
 tacotron2 = Tacotron2.from_hparams(source="speechbrain/TTS_Tacotron2", savedir="tmpdir")
 items = [
-       "A quick brown fox jumped over the lazy dog",
-       "How much wood would a woodchuck chuck?",
-       "Never odd or even"
+       "Nsanyuse okukulaba",
+       "Erinnya lyo ggwe ani?",
+       "Mbagaliza Christmass Enungi Nomwaka Omugya Gubaberere Gwamirembe"
      ]
 mel_outputs, mel_lengths, alignments = tacotron2.encode_batch(items)