Music Embedding: A Tool for Incorporating Music Theory into Computational Music Applications [PDF]
Advancements in the digital technologies have enabled researchers to develop a variety of Computational Music applications. Such applications are required to capture, process, and generate data related to music. Therefore, it is important to digitally represent music in a music theoretic and concise manner.
arxiv
General Theory of Music by Icosahedron 3: Musical invariant and Melakarta raga [PDF]
Raga is a central musical concept in South Asia, especially India, and we investigate connections between Western classical music and Melakarta raga that is a raga in Karnatak (south Indian) classical music, through musical icosahedron. In our previous study, we introduced some kinds of musical icosahedra connecting various musical concepts in Western ...
arxiv
Direction of Arrival Estimation for Nanoscale Sensor Networks [PDF]
Nanoscale wireless sensor networks (NWSNs) could be within reach soon using graphene-based antennas, which resonate in 0.1-10 terahertz band. To conserve the limited energy available at nanoscale, it is expected that NWSNs will communicate using extremely short pulses on the order of femtoseconds.
arxiv +1 more source
Making grains tangible: microtouch for microsound [PDF]
This paper proposes a new research direction for the large family of instrumental musical interfaces where sound is generated using digital granular synthesis, and where interaction and control involve the (fine) operation of stiff, flat contact surfaces. First, within a historical context, a general absence of, and clear need for, tangible output that
arxiv +1 more source
Expressive microstructure in music: A first assessment of “composers' pulses” [PDF]
According to a provocative theory set forth by Manfred Clynes [most recently in Cognition and Communication 19, No. 2 (1986)], there are composer-specific patterns of (unnotated) musical microstructure that, when discovered and realized by a performer, help to give the music its characteristic expressive quality.
openaire +2 more sources
ComMU: Dataset for Combinatorial Music Generation [PDF]
Commercial adoption of automatic music composition requires the capability of generating diverse and high-quality music suitable for the desired context (e.g., music for romantic movies, action games, restaurants, etc.). In this paper, we introduce combinatorial music generation, a new task to create varying background music based on given conditions ...
arxiv
Does "Fans Economy" Work for Chinese Pop Music Industry? [PDF]
China has become one of the largest entertainment markets in the world in recent years. Due to the success of Xiaomi, many Chinese pop music industry entrepreneurs believe "Fans Economy" works in the pop music industry. "Fans Economy" is based on the assumption that pop music consumer market could be segmented based on artists.
arxiv +1 more source
Understanding Human-AI Collaboration in Music Therapy Through Co-Design with Therapists [PDF]
The rapid development of musical AI technologies has expanded the creative potential of various musical activities, ranging from music style transformation to music generation. However, little research has investigated how musical AIs can support music therapists, who urgently need new technology support.
arxiv +1 more source
Tempo-Invariant Processing of Rhythm with Convolutional Neural Networks [PDF]
Rhythm patterns can be performed with a wide variation of tempi. This presents a challenge for many music information retrieval (MIR) systems; ideally, perceptually similar rhythms should be represented and processed similarly, regardless of the specific tempo at which they were performed. Several recent systems for tempo estimation, beat tracking, and
arxiv
What is missing in deep music generation? A study of repetition and structure in popular music [PDF]
Structure is one of the most essential aspects of music, and music structure is commonly indicated through repetition. However, the nature of repetition and structure in music is still not well understood, especially in the context of music generation, and much remains to be explored with Music Information Retrieval (MIR) techniques.
arxiv