Music alignment links events in a score and points on the audio performance time axis. All the parts of a recording can be thus indexed according to score information. The automatic alignment presented in this paper is based on a dynamic time warping method. Local distances are computed using the signal’s spectral features through an attack plus sustain note modeling. The method is applied to m...

The primary objective of this study is to review and characterize research-based music assessments that might be used guide assist teachers students in transforming their attitudes perceptions, ability express ideas concepts during the assessment process openly. This employed descriptive autoethnographic methods elicit information about current conditions practices through library approach lite...

The goal of this study was to investigate the translate-ability of creative works into other domains. We tested whether people were able to recognize which works of art were inspired by which pieces of music. Three expert painters created four paintings, each of which was the artist’s interpretation of one of four different pieces of instrumental music. Participants were able to identify which ...

The present study investigated the minimum amount of auditory stimulation that allows differentiation of spoken voices, instrumental music, and environmental sounds. Three new findings were reported. 1) All stimuli were categorized above chance level with 50 ms-segments. 2) When a peak-level normalization was applied, music and voices started to be accurately categorized with 20 ms-segments. Wh...

Music mood has been recognized as an important access point for music and many online music services support browsing by mood. However, how people judge music mood has not been well studied in the Music Information Retrieval (MIR) domain. In particular, people's cultural background is often assumed to be an important factor in music mood perception, but this assumption has not been verified by ...

Audio and lyric features are commonly considered in the research of music emotion recognition, whereas MIDI features are rarely used. Some research revealed that among the features employed in music emotion recognition, lyric has the best performance on valence, MIDI takes the second place, and audio is the worst. However, lyric cannot be found in some music types, such as instrumental music. I...

For three decades, research on training in music education for pre-service primary (elementary) generalist teachers has consistently highlighted four main issues that limit its effectiveness: 1) the influence of past experiences; 2) a lack of confidence 3) a lack of musical competence and 4) limited time to address these issues in teacher education courses. These issues have been addressed thro...

Musical behaviours are universal across human populations and, at the same time, highly diverse in their structures, roles and cultural interpretations. Although laboratory studies of isolated listeners and music-makers have yielded important insights into sensorimotor and cognitive skills and their neural underpinnings, they have revealed little about the broader significance of music for indi...

In the live game-based performance work ECHO::Canyon, the procedural generation of sound and music is used to create tight crossmodal couplings between mechanics in the visual modality, such as avatar motion, gesture and state, and attributes such as timbre, amplitude and frequency from the auditory modality. Real-time data streams representing user-controlled and AI driven avatar parameters of...