Endowing machines with sensing capabilities similar to those of humans is a prevalent
quest in engineering and computer science. In the pursuit of making computers sense their …

Music information retrieval (MIR) is an emerging research area that receives growing
attention from both the research community and music industry. It addresses the problem of …

In this paper, we propose an approach for music emotion recognition based on
convolutional long short term memory deep neural network (CLDNN) architecture. In …

SenticNet is the knowledge base which the sentic computing framework leverages on for
concept-level sentiment analysis. This chapter illustrates how such a resource is built. In …

The design of meaningful audio features is a key need to advance the state-of-the-art in
music emotion recognition (MER). This article presents a survey on the existing emotionally …

Introduction to Audio Analysis serves as a standalone introduction to audio analysis,
providing theoretical background to many state-of-the-art techniques. It covers the essential …

An Introduction to Audio Content Analysis Enables readers to understand the algorithmic
analysis of musical audio signals with AI-driven approaches An Introduction to Audio …

We investigated the neural underpinnings of timbral, tonal, and rhythmic features of a
naturalistic musical stimulus. Participants were scanned with functional Magnetic …

We present MIRtoolbox, an integrated set of functions written in Matlab, dedicated to the
extraction of musical features from audio files. The design is based on a modular framework …

EP 1231 788 A1 8, 2002 EP 1420388 A1 5, 2004 JP 11052965 2, 1999 JP 2002108351
4/2002 JP 2002320203. A 10, 2002 JP 20032.55958 10, 2003 JP 2004221999 A 8, 2004 JP …