Whispered speech recognition using deep denoising autoencoder and inverse filtering

ĐT Grozdić, ST Jovičić - IEEE/ACM Transactions on Audio …, 2017 - ieeexplore.ieee.org
Due to the profound differences between acoustic characteristics of neutral and whispered
speech, the performance of traditional automatic speech recognition (ASR) systems trained …

[PDF][PDF] Structured variation in obstruent production and perception

ER Chodroff - 2017 - jscholarship.library.jhu.edu
The acoustic-phonetic properties of speech sounds vary substantially across languages,
and across talkers within a single language. The central thesis of this dissertation is that …

Arabic speech recognition systems

HMM Eljagmani - 2017 - repository.fit.edu
Arabic automatic speech recognition is one of the difficult topics of current speech
recognition research field. Its difficulty lies on rarity of researches related to Arabic speech …

[PDF][PDF] Primena neuralnih mreža u prepoznavanju šapata

ĐT Grozdić - Универзитет у Београду, 2017 - nardus.mpn.gov.rs
Nedavno postignuti uspesi dubinskih neuralnih mreža u različitim zadacima mašinskog
učenja su doprineli da vestačke neuralne mreze ponovo zauzmu bitnu ulogu u …

Automatic speech recognition techniques for diagnostic predictions of human health disorders

R Sadeghian - 2017 - search.proquest.com
Abstract Automatic Speech Recognition (ASR) is widely used in many applications and
tools. Smartphones, video games, cars. etc., are a few example where people use ASR …

Conception et réalisation d'un système d'évaluation des comportements anormaux des opérateurs dans un milieu industriel

H Amamou - 2017 - constellation.uqac.ca
Avec la disponibilité grandissante des capteurs et des réseaux de capteurs à coûts réduits,
la reconnaissance d'activités humaines, grâce à des vêtements intelligents, fait l'objet de …

Confidence Scoring and Speaker Adaptation in Mobile Automatic Speech Recognition Applications

M Abbas - 2017 - aaltodoc.aalto.fi
Generally, the user group of a language is remarkably diverse in terms of speaker-specific
characteristics such as dialect and speaking style. Hence, quality of spoken content varies …