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 …
S Hizlisoy, S Yildirim, Z Tufekci - Engineering Science and Technology, an …, 2021 - Elsevier
In this paper, we propose an approach for music emotion recognition based on convolutional long short term memory deep neural network (CLDNN) architecture. 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 …
E Cambria, A Hussain, E Cambria… - Sentic computing: a …, 2015 - Springer
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 …
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 …
O Lartillot, P Toiviainen - International conference on digital audio effects, 2007 - dafx.de
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 …
We investigated the neural underpinnings of timbral, tonal, and rhythmic features of a naturalistic musical stimulus. Participants were scanned with functional Magnetic …