Deep learning is a quite useful and proliferating technique of machine learning. Various
applications, such as medical images analysis, medical images processing, text …

In this paper, we propose a novel design of an ultra-wideband hybrid microwave absorber
operating in the frequency range between 2 GHz and 18 GHz. This proposed hybrid …

Bird call recognition using deep neural network-hidden Markov model (DNN-HMM)-based
transcription is proposed. The work is an attempt to adapt the human speech recognition …

Identification of multiple predominant instruments in polyphonic music is addressed using
convolutional neural networks (CNN) through Mel-spectrogram, modgd-gram, and its fusion …

Identifying Thai classical music instruments from recorded sounds is challenge research in
the area of Thai music analysis such as Thai music retrieval and Thai automatic …

Automatic identification of lead instruments is a challenging task in the field of music
information retrieval (MIR). In this paper, predominant instrument recognition in polyphonic …

Automatic Performer Identification from the symbolic representation of music has been a
challenging topic in the field of Music Information Retrieval (MIR). This thesis proposes …

In this paper, predominant instrument recognition in polyphonic music is addressed using
convolutional recurrent neural networks (CRNN) through Mel-spectrogram, modgdgram …

Solomusikinstrumenterkennung ist ein Forschungsthema, an dem schon seit Jahren
geforscht wird. Als nach dem sogenannten KI-Winter die Methoden von Feature basierten …

Single instrument recognition is a research topic that is worked on for many years. After the
AI winter the approaches switched from feature based methods to artificial neural networks …