Abstract / truncated to 115 words (read the full abstract)

Despite the outstanding progress made on automatic speech recognition (ASR) throughout the last decades, noise-robust ASR still poses a challenge. Tackling with acoustic noise in ASR systems is more important than ever before for a twofold reason: 1) ASR technology has begun to be extensively integrated in intelligent mobile devices (IMDs) such as smartphones to easily accomplish different tasks (e.g. search-by-voice), and 2) IMDs can be used anywhere at any time, that is, under many different acoustic (noisy) conditions. On the other hand, with the aim of enhancing noisy speech, IMDs have begun to embed small microphone arrays, i.e. microphone arrays comprised of a few sensors close each other. These multi-sensor IMDs often embed one ... toggle 8 keywords

robust speech recognition noise estimation mobile device dual-microphone smartphone vector taylor series power spectrum enhancement deep neural network


López-Espejo, Iván
University of Granada
Publication Year
Upload Date
Jan. 31, 2018

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