minor readme fixes, citations

README.md

@@ -71,7 +71,7 @@ from datasets import load_dataset
 from speech_collator import SpeechCollator
 from torch.utils.data import DataLoader
 
-dataset = load_dataset('libritts_align', split="train")
+dataset = load_dataset('cdminix/libritts-aligned', split="train")
 
 speaker2ixd = json.load(open("speaker2idx.json"))
 phone2ixd = json.load(open("phone2idx.json"))
@@ -101,4 +101,37 @@ with open("speaker2idx.json", "w") as f:
     json.dump(speaker2idx, f)
 with open("phone2idx.json", "w") as f:
     json.dump(phone2idx, f)
-```
+```
+
+### Measures
+
+When using ``speech-collator`` you can also use the ``measures`` argument to specify which measures to use. The following example extracts Pitch and Energy on the fly.
+
+```python
+import json
+from datasets import load_dataset
+from speech_collator import SpeechCollator
+from speech_collator.measures import PitchMeasure, EnergyMeasure
+from torch.utils.data import DataLoader
+
+dataset = load_dataset('cdminix/libritts-aligned', split="train")
+collator = SpeechCollator(
+    speaker2ixd=speaker2idx,
+    phone2ixd=phone2idx,
+    measures=[PitchMeasure(), EnergyMeasure()],
+    return_keys=["pitch", "energy"],
+)
+
+dataloader = DataLoader(dataset, collate_fn=collator.collate_fn, batch_size=8)
+```
+
+COMING SOON: Detailed documentation on how to use the measures at [MiniXC/speech-collator](https://www.github.com/MiniXC/speech-collator).
+
+# Citation
+
+When using LibriTTS please cite the following papers:
+- [LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech](https://arxiv.org/abs/1904.02882)
+- [Montreal Forced Aligner: Trainable text-speech alignment using Kaldi](https://www.researchgate.net/publication/319185277_Montreal_Forced_Aligner_Trainable_Text-Speech_Alignment_Using_Kaldi)
+
+When using the Measures please cite the following paper (ours):
+- [Evaluating and reducing the distance between synthetic and real speech distributions](https://arxiv.org/abs/2211.16049)