add readme

README.md

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+---
+tags: 
+- pyannote
+- speaker-diarization
+datasets:
+- ami
+- voxconverse
+license: mit
+---
+
+# Speaker diarization
+
+Relies on pyannote.audio 2.0 currently in development: see [installation instructions](https://github.com/pyannote/pyannote-audio/tree/develop#installation).
+
+```python
+from pyannote.audio import Pipeline
+pipeline = Pipeline.from_pretrained("AMITKESARI2000/pyannote_SD1")
+output = pipeline("audio.wav")
+for turn, _, speaker in output.itertracks(yield_label=True):
+    # speaker speaks between turn.start and turn.end
+    ...
+```
+
+## Benchmark 
+
+| Dataset                                                                                             | [Diarization error rate](http://pyannote.github.io/pyannote-metrics/reference.html#diarization) |
+| --------------------------------------------------------------------------------------------------- | ------ |
+| [AMI `only_words` evaluation set](https://github.com/BUTSpeechFIT/AMI-diarization-setup)            | 21.4% |