This is necessary because in speech input and output are of different modalities meaning that they should not be treated by the same padding function. Analogous to the common data collators, the padding tokens in the labels with -100 so that those tokens are not taken int...
This is Arabic - Malayalam dictionary. The dictionary works offline, search is very fast. Dictionary database will be downloaded when you run the application the first time. Application features: - Favorites. - History. - Various settings like c
We understand that accent markers have substantial meaning in some languages, but felt that the benefits of reducing the effective vocabulary make up for this. Generally the strong contextual models of BERT should make up for any ambiguity introduced by stripping accent markers. ### List of ...
Without going into too many details, in contrast to the common data collators, this data collator treats the input_features and labels differently and thus applies to separate padding functions on them. This is necessary because in speech input and output are of different modal...
This is necessary because in speech input and output are of different modalities meaning that they should not be treated by the same padding function. Analogous to the common data collators, the padding tokens in the labels with -100 so that those tokens are not taken into account ...
In contrast to most NLP models, Wav2Vec2-BERT has a much larger input length than output length. Given the large input sizes, it is much more efficient to pad the training batches dynamically meaning that all training samples should only be padded to the longest sample in their ...
Without going into too many details, in contrast to the common data collators, this data collator treats the input_features and labels differently and thus applies to separate padding functions on them. This is necessary because in speech input and output are of different modalities ...
they don't really correspond to a characteristic sound unit.E.g., the letter"s"has a more or less clear sound, whereas the special character"."does not. Also in order to understand the meaning of a speech signal, it is usually not necessary to include special characters in th...
Without going into too many details, in contrast to the common data collators, this data collator treats the input_features and labels differently and thus applies to separate padding functions on them. This is necessary because in speech input and output are of different modalities mea...
In contrast to most NLP models, Wav2Vec2-BERT has a much larger input length than output length. Given the large input sizes, it is much more efficient to pad the training batches dynamically meaning that all training samples should only be padded to the longest sample in thei...