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Martijn Bartelds commited on
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1 Parent(s): 3ead97b

Update app files

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  1. examples/falling_hood_mobiel_203936.wav +0 -0
  2. examples/falling_huud_mobiel_201145.wav +0 -0
  3. neural_acoustic_distance.py +1 -1
examples/falling_hood_mobiel_203936.wav CHANGED
Binary files a/examples/falling_hood_mobiel_203936.wav and b/examples/falling_hood_mobiel_203936.wav differ
 
examples/falling_huud_mobiel_201145.wav CHANGED
Binary files a/examples/falling_huud_mobiel_201145.wav and b/examples/falling_huud_mobiel_201145.wav differ
 
neural_acoustic_distance.py CHANGED
@@ -11,7 +11,7 @@ from transformers import AutoConfig
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  st.title("Word-level Neural Acoustic Distance Visualizer")
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- st.write("This tool visualizes pronunciation differences between two recordings of the same word. The two recordings have to be wave files (mono 16-bit PCM at 16 kHz) containing a single spoken word. \n\n\
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  Choose any wav2vec 2.0 compatible model identifier on the [Hugging Face Model Hub](https://huggingface.co/models?filter=wav2vec2) and select the output layer you want to use.\n\n\
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  To upload your own recordings select 'custom upload' in the audio file selection step. The first recording is put on the x-axis of the plot and the second one will be the reference recording for computing distance.\n\
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  You should already see an example plot of two sample recordings.\n\n\
 
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  st.title("Word-level Neural Acoustic Distance Visualizer")
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+ st.write("This tool visualizes pronunciation differences between two recordings of the same word. The two recordings have to be wave files containing a single spoken word. \n\n\
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  Choose any wav2vec 2.0 compatible model identifier on the [Hugging Face Model Hub](https://huggingface.co/models?filter=wav2vec2) and select the output layer you want to use.\n\n\
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  To upload your own recordings select 'custom upload' in the audio file selection step. The first recording is put on the x-axis of the plot and the second one will be the reference recording for computing distance.\n\
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  You should already see an example plot of two sample recordings.\n\n\