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Robust features in deep-learning-based speech recognition
(Springer Nature Switzerland AG, 2017)
Recent progress in deep learning has revolutionized speech recognition research, with Deep Neural Networks (DNNs) becoming the new state of the art for acoustic modeling. DNNs offer significantly lower speech recognition ...
English speech rhythm in instructed learners. Its development as shown by VarcoV
(Universidad Nacional del Comahue. Facultad de Lenguas, 2019)
Speech rhythm is viewed as the product of different phonetic and phonological properties. This work shows the rhythmic acquisition of instructed learners of English as an L2 whose mother tongue is Spanish. Two main variables ...
Robust front-end for audio, visual and audio–visual speech classification
(Springer, 2018-06)
This paper proposes a robust front-end for speech classification which can be employed with acoustic, visual or audio–visual information, indistinctly. Wavelet multiresolution analysis is employed to represent temporal ...
Acoustic Vowel Analysis of Costa Rican ChildrenAnálisis acústico de vocales de niños costarricenses
(Universidad de Costa Rica, 2020)
Phonetic-acoustic detailing of CCV sylables in typical children's speech and with phonological disorderDetalles fonético-acústicos de las sílabas CCV en el habla infantil típica y con desviación fonológicaDetalhamento fonético-acústico das sílabas CCV na fala infantil típica e com desvio fonológico
(Programa de Pós-Graduação em Linguística - UFSC, 2021)
An Acoustic Analysis of Rhotics in Coda Position in Speech Samples of Informant from Curitiba: A Cross Generational Comparative StudyDescrição fonético-acústica dos róticos em travamento de sílaba tônica na fala de curitibanos: um estudo comparativo de duas gerações
(Programa de Pós-Graduação em Linguística da UFSC, 2014)