Audio pattern recognition (APR) is an important research topic and can be applied to several fields related our lives. Therefore, accurate efficient APR systems need developed as they are useful in real applications. In this paper, we propose a new convolutional neural network (CNN) architecture method for improving the inference speed of CNN-based tasks. Moreover, using proposed method, improv...

Introduction The enormous amount of unstructured audio data available nowadays and the spread of its use as a data source in many applications are introducing new challenges to researchers in information and signal processing. The continuously growing size of digital audio information increases the difficulty of its access and management, thus hampering its practical usefulness. As a consequenc...

As the Internet of Musical Things (IoMusT) emerges, audio-specific operating systems (OSs) are required on embedded hardware to ease development and portability IoMusT applications. Despite increasing importance applications, in this article, we show that there is no OS able fulfill diverse requirements systems. To address such a gap, propose Elk Audio as novel open source space. It Linux-based...