Por favor, use este identificador para citar o enlazar este ítem: http://repositorio.ufc.br/handle/riufc/55454
Tipo: Artigo de Evento
Título : Experiments of speech enhancement based on deep neural networks in far field scenarios.
Autor : Araújo, Jacques Henrique Bessa
Freitas Júnior, Walter da Cruz
Almeida, André Lima Férrer de
Viot, Diego Dutra
Palabras clave : Speech enhancement;Deep neural network;Spectral mapping
Fecha de publicación : 2016
Citación : ARAUJO, Jacques Henrique Bessa; FREITAS JÚNIOR, Walter da Cruz; ALMEIDA , André Lima Férrer de; VIOT, Diego Dutra. Experiments of speech enhancement based on deep neural networks in far field scenarios. In: SIMPÓSIO BRASILEIRO DE TELECOMUNICAÇÕES - SBrT2016, 34º., 30 ago. a 02 Set. 2016, Santarém, PA. Anais [...] Santarém, PA., 2016.
Abstract: Efficient speech enhancement techniques are essential to improve quality and intelligibility of speech signals and reliability in voice recognition applications. One way to reduce word error rate is through powerful noise reduction algorithms. This paper is intended to provide speech enhancement experiments based on deep neural networks (DNN) in far field scenarios under noisy environments. In the present work, it is investigated the use of DNNs as a front-end for automatic speech recognition (ASR). Objective metrics are used to investigate its effectiveness and results are compared against several popular speech enhancement algorithms. It is shown that DNN provides better results under all noisy and SNR conditions.
URI : http://www.repositorio.ufc.br/handle/riufc/55454
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