Frequency-weighting functions for speech in young and older listeners

In particular, in this work, we train a DNN for the task of automatic speech recognition (ASR), which we use as feature extractor, and vary some hyper-parameters involved in the

The proposed approach, namely An- chor Model Fusion (AMF), exploits the characteristic behaviour of the scores of a speech utterance among different emotion models, by a map- ping to

This condition, related to the normal component on ∂D of the ∂-operator, permits us to study the Neumann problem for pluriharmonic functions and the ∂-problem for (0, 1)-forms on D

We also obtain another characterization of the validity of (R p ) for p > 2 in terms of reverse H¨ older inequalities for the gradient of harmonic functions, in the spirit of

In this work we evaluate a keyword spotting system performance by incorporating an evolutionary algorithm as confidence measure and compare its performance with traditional

Although we found a significant higher consumption in Scotland than in Spain for alcohol frequency (but not quantity) and friends alcohol use, the present study

specifically, on word, emoji, and expression embeddings. Differently from the previous models, in HaterNet, the embeddings are enriched by adding the tf-idf which, as explained

opinions) weighting methods when constructing a composite indicator for measuring environmental sustainability at the farm level. In particular, the study analyzes