94 citations · 94 across the 4 of their papers we have counts for
4 papers
Automatic Pronunciation Generation by Utilizing a Semi-supervised Deep Neural Networks
Naoya Takahashi, Tofigh Naghibi, Beat Pfister
Phonemic or phonetic sub-word units are the most commonly used atomic elements to represent speech signals in modern ASRs. However they are not the optimal choice due to several re…
Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Detection
Naoya Takahashi, Michael Gygli, Beat Pfister +1
We propose a novel method for Acoustic Event Detection (AED). In contrast to speech, sounds coming from acoustic events may be produced by a wide variety of sources. Furthermore, d…
A Semidefinite Programming Based Search Strategy for Feature Selection with Mutual Information Measure
Tofigh Naghibi, Sarah Hoffmann, Beat Pfister
Feature subset selection, as a special case of the general subset selection problem, has been the topic of a considerable number of studies due to the growing importance of data-mi…
A Boosting Framework on Grounds of Online Learning
Tofigh Naghibi, Beat Pfister
By exploiting the duality between boosting and online learning, we present a boosting framework which proves to be extremely powerful thanks to employing the vast knowledge availab…