Feature analysis for quality assessment of reverberated speech. - Amaro A. de Lima; Thiago de M. Prego; Sergio L. Netto; Bowon Lee; Amir Said; Ronald W. Schafer; Ton Kalker; Majid Fozunbal (MMSP, 2009)

Efficient Search in the Adaptive Codebook for ITU-T G.729 Codec. - Thiago de M. Prego; Sergio L. Netto (IEEE Signal Process. Lett., 2009)

Perceptual Improvement of a Two-Stage Algorithm for Speech Dereverberation. - Thiago de M. Prego; Amaro A. de Lima; Sergio L. Netto (INTERSPEECH, 2011)

Perceptual analysis of higher-order statistics in estimating reverberation. - Thiago de M. Prego; Amaro A. de Lima; Sergio L. Netto (ISCCSP, 2012)

On the quality-assessment of reverberated speech. - Amaro A. de Lima; Thiago de M. Prego; Sergio L. Netto; Bowon Lee; Amir Said; Ronald W. Schafer; Ton Kalker; Majid Fozunbal (Speech Commun., 2012)

Feature analysis for the reverberation perception in speech signals. - J. M. F. del Vallado; Amaro A. de Lima; Thiago de M. Prego; Sergio L. Netto (ICASSP, 2013)

On the enhancement of dereverberation algorithms based on a perceptual evaluation criterion. - Thiago de M. Prego; Amaro A. de Lima; Sergio L. Netto (INTERSPEECH, 2013)

On fault classification in rotating machines using fourier domain features and neural networks. - Amaro A. de Lima; Thiago de M. Prego; Sergio L. Netto; Eduardo A. B. da Silva; Ricardo H. R. Gutiérrez; Ulisses A. Monteiro; Antonio C. R. Troyman; Francisco J. da C. Silveira; Luiz A. P. Vaz (LASCAS, 2013)

High-precision frequency estimation of real sinusoids with reduced computational complexity using a model-based matched-spectrum approach. - Alessandro J. S. Dutra; José F. L. de Oliveira; Thiago de M. Prego; Sergio L. Netto; Eduardo A. B. da Silva (Digit. Signal Process., 2014)

Blind estimators for reverberation time and direct-to-reverberant energy ratio using subband speech decomposition. - Thiago de M. Prego; Amaro A. de Lima; Rafael Zambrano-Lopez; Sergio L. Netto (WASPAA, 2015)

The influence of feature vector on the classification of mechanical faults using neural networks. - Denys Pestana-Viana; Rafael Zambrano-Lopez; Amaro A. de Lima; Thiago de M. Prego; Sergio L. Netto; Eduardo A. B. da Silva (LASCAS, 2016)

Audio anomaly detection on rotating machinery using image signal processing. - Thiago de M. Prego; Amaro A. de Lima; Sergio L. Netto; Eduardo A. B. da Silva (LASCAS, 2016)

On the enhancement of dereverberation algorithms using multiple perceptual-evaluation criteria. - Rafael Zambrano-Lopez; Thiago de M. Prego; Amaro A. de Lima; Sergio L. Netto (MMSP, 2016)

Autonomous Detection of Mosquito-Breeding Habitats Using an Unmanned Aerial Vehicle. - Tayana Dias; Viviane Alves; Henrique Alves; Lucas Pinheiro; Roberto Pontes; Gabriel M. Araujo; Amaro A. de Lima; Thiago de M. Prego (LARS/SBR/WRE, 2018)

Hybrid data augmentation method for combined failure recognition in rotating machines. - Dionísio H. C. S. S. Martins; Amaro A. de Lima; Milena F. Pinto; Douglas de O. Hemerly; Thiago de M. Prego; Fabrício Lopes e Silva; Luís Tarrataca; Ulisses A. Monteiro; Ricardo H. R. Gutiérrez; Diego B. Haddad (J. Intell. Manuf., 2023)

Predicting faults in diesel engines with kernel machines regression techniques. - Denys Pestana-Viana; Dionísio H. C. S. S. Martins; Diego B. Haddad; Fabrício Lopes e Silva; Milena F. Pinto; Ricardo H. R. Gutiérrez; Ulisses A. Monteiro; Luiz A. P. Vaz; Thiago de M. Prego; Fabio A. A. Andrade; Luís Tarrataca; Amaro A. de Lima (Appl. Intell., 2025)