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Found 2 papers, 1 papers with code
Prediction of speech intelligibility with DNN-based performance measures
This paper presents a speech intelligibility model based on automatic speech recognition (ASR), combining phoneme probabilities from deep neural networks (DNN) and a performance measure that estimates the word error rate from these probabilities.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Key Information Extraction From Documents: Evaluation And Generator
Therefore, natural language processing models have already been combined with computer vision models in the past, to benefit from e. g. positional information and to improve performance of these key information extraction models.
