Update README.md

README.md

@@ -25,7 +25,7 @@ model-index:
          type: wer
          value: 55.68
 ---
-# Wav2Vec2-Large-XLSR-53-Odia
+# Wav2Vec2-Large-XLSR-53-Dhivehi
 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Dhivehi using the [Common Voice](https://huggingface.co/datasets/common_voice).
 When using this model, make sure that your speech input is sampled at 16kHz.
 ## Usage
@@ -66,7 +66,7 @@ wer = load_metric("wer")
 processor = Wav2Vec2Processor.from_pretrained("anuragshas/wav2vec2-large-xlsr-53-dv")
 model = Wav2Vec2ForCTC.from_pretrained("anuragshas/wav2vec2-large-xlsr-53-dv")
 model.to("cuda")
-chars_to_ignore_regex = '[\,\?\.\!\-\;\:\"\“\%\‘\”\،\؟\–\'\’]'
+chars_to_ignore_regex = '[\,\?\.\!\-\;\:\"\“\%\‘\”\،\.\؟\–\'\’]'
 resampler = torchaudio.transforms.Resample(48_000, 16_000)
 # Preprocessing the datasets.
 # We need to read the aduio files as arrays