Dynamic range compression, despite being one of the most widely used audio effects, is still
poorly understood, and there is little formal knowledge and analysis of compressor design …

Reflecting on a decade of Automatic Mixing systems for multitrack music processing, this
paper positions the topic in the wider field of Intelligent Music Production, and seeks to …

The goal of speech enhancement is typically to recover clean speech from noisy,
reverberant, and often bandlimited speech in order to yield improved intelligibility, clarity, or …

This paper explores the digital emulation of analog dynamic range compressors, proposing
a grey-box model that uses a combination of traditional signal processing techniques and …

An intelligent dynamic range compression (DRC) algorithm, using the CA-DAFX processing
architecture, produces the optimal amount of dynamic range for multitrack recordings. The …

The identification of suspicious microseismic events is the first crucial step in processing
microseismic data. In this paper, we present an automatic classification method based on a …

Musical imagery is the human experience of imagining music without actually hearing it. The
neural basis of this mental ability is unclear, especially for musicians capable of engaging in …

Intelligent Music Production presents the state of the art in approaches, methodologies and
systems from the emerging field of automation in music mixing and mastering. This book …

Artificial reverberation is an important music production tool with a strong but poorly
understood perceptual impact. A literature review of the relevant works concerned with the …

In this paper, a siamese DNN model is proposed to learn the characteristics of the audio
dynamic range compressor (DRC). This facilitates an intelligent control system that uses …