Update README.md

README.md

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 A Japanese transcription/diarization pipeline with Pyannote and Whisper large-v2 that uses a custom-tuned segmentation model and custom filtering on the audio (low-pass filter, equalizer, etc.) for improved performance. 
 Can be given a video file or mp3/wav file.  
 
-Performance is considerably better than default JP whisper for most tasks involving Japanese content, with the exception of singing/karaoke (Where performance is below the original due to the training dataset.
+Performance is considerably better than default JP whisper for most tasks involving Japanese content, with the exception of singing/karaoke (Where performance is below the original due to the training dataset.)
 
 Requires ffmpeg, openai-whisper, pyannote and facebookresearch's demux model. Torch is also strongly encouraged. 
 Pyannote requies a Huggingface API key, which it will currently look for under the environment variable "HF_TOKEN_NOT_LOGIN" (At the time of this writing, naming your HF token "HF_TOKEN" causes bugs.)