Update README.md

README.md

@@ -18,7 +18,7 @@ metrics:
 
 ### Text-to-Speech (TTS) with Tacotron2 trained on Male Commonvoice Recordings
 
-This repository provides all the necessary tools for Text-to-Speech (TTS)  with SpeechBrain using a [Tacotron2](https://arxiv.org/abs/1712.05884) pretrained on [LJSpeech](https://keithito.com/LJ-Speech-Dataset/).
+This repository provides all the necessary tools for Text-to-Speech (TTS)  with SpeechBrain.
 
 The pre-trained model takes in input a short text and produces a spectrogram in output. One can get the final waveform by applying a vocoder (e.g., HiFIGAN) on top of the generated spectrogram.
 
@@ -44,7 +44,7 @@ tacotron2 = Tacotron2.from_hparams(source="sunbird/sunbird-lug-tts-commonvoice-m
 hifi_gan = HIFIGAN.from_hparams(source="speechbrain/tts-hifigan-ljspeech", savedir="tmpdir_vocoder")
 
 # Running the TTS
-mel_output, mel_length, alignment = tacotron2.encode_text("Mary had a little lamb")
+mel_output, mel_length, alignment = tacotron2.encode_text("Mbagaliza Christmass Enungi Nomwaka Omugya Gubaberere Gwamirembe")
 
 # Running Vocoder (spectrogram-to-waveform)
 waveforms = hifi_gan.decode_batch(mel_output)