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Update README.md

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@@ -22,7 +22,7 @@ model-index:
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  name: Automatic Speech Recognition
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  type: automatic-speech-recognition
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  dataset:
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- name: Common Voice pt
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  type: common_voice
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  args: en
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  metrics:
@@ -73,15 +73,15 @@ The script used for training can be found here: https://github.com/jonatasgrosma
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  The model can be used directly (without a language model) as follows...
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- Using the [ASRecognition](https://github.com/jonatasgrosman/asrecognition) library:
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  ```python
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- from asrecognition import ASREngine
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-
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- asr = ASREngine("en", model_path="jonatasgrosman/wav2vec2-large-xlsr-53-english")
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  audio_paths = ["/path/to/file.mp3", "/path/to/another_file.wav"]
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- transcriptions = asr.transcribe(audio_paths)
 
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  ```
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  Writing your own inference script:
 
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  name: Automatic Speech Recognition
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  type: automatic-speech-recognition
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  dataset:
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+ name: Common Voice en
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  type: common_voice
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  args: en
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  metrics:
 
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  The model can be used directly (without a language model) as follows...
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+ Using the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) library:
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  ```python
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+ from huggingsound import SpeechRecognitionModel
 
 
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+ model = SpeechRecognitionModel("jonatasgrosman/wav2vec2-large-xlsr-53-english")
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  audio_paths = ["/path/to/file.mp3", "/path/to/another_file.wav"]
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+
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+ transcriptions = model.transcribe(audio_paths)
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  ```
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  Writing your own inference script: