In this paper we propose discriminative training of hierarchical acoustic models for large vocabulary continuous speech recognition tasks. After presenting our hierarchical modeli...
It is shown that the best ASR results are attained when a pre-processing is carried out synchronically with pitch. Specifically, an analysis step has to be equal to the current one...
This paper presents the application of WordNet-based semantic relatedness measures to Automatic Speech Recognition (ASR) in multi-party meetings. Different word-utterance context ...
This study investigates whether some speech recognition (SR) errors are easier to detect and what patterns can be identified from those errors. Specifically, SR errors were exam...
Spoken dialogue system performance can vary widely for different users, as well for the same user during different dialogues. This paper presents the design and evaluation of an a...