Experimental project to punctuate text using a embedding layer, single convolutional layer and output softmax layer written in Keras.
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This blog post visualize vector norms of FastText embedding and evaluates use of FastText word vector norm multiplied with number of word n-grams for detecting non-english OOV words.
Cuts movie dialog summary video.
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Created an issue in guillaumekln/faster-whisper that received 1 comment
Support for variable size chunks
I can see that now only 30 second chunks are supported by the CTranslate2 model. Shorter chunks are padded to 30s such that
model.generate can acce…