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Sökning: hsv:(NATURVETENSKAP) hsv:(Data och informationsvetenskap) > Kungl. Musikhögskolan

  • Resultat 1-10 av 24
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1.
  • Hansen, Kjetil Falkenberg, Docent, 1972-, et al. (författare)
  • Student involvement in sound and music computing research : Current practices at KTH and KMH
  • 2019
  • Ingår i: Combined proceedings of the Nordic Sound and Music Computing Conference 2019 and the Interactive Sonification Workshop 2019. - Stockholm. ; , s. 36-42
  • Konferensbidrag (refereegranskat)abstract
    • To engage students in and beyond course activities has been a working practice both at KTH Sound and Music Computing group and at KMH Royal College of Music since many years. This paper collects experiences of involving students in research conducted within the two institutions. We describe how students attending our courses are given the possibility to be involved in our research activities, and we argue that their involvement both contributes to develop new research and benefits the students in the short and long term.  Among the assignments, activities, and tasks we offer in our education programs are pilot experiments, prototype development, public exhibitions, performing, composing, data collection, analysis challenges, and bachelor and master thesis projects that lead to academic publications.
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2.
  • Misgeld, Olof, et al. (författare)
  • A case study of deep enculturation and sensorimotor synchronization to real music
  • 2021
  • Ingår i: Proceedings of the 22nd International Conference on Music Information Retrieval, ISMIR 2021, International Society for Music Information Retrieval. ; , s. 460-467
  • Konferensbidrag (refereegranskat)abstract
    • Synchronization of movement to music is a behavioural capacity that separates humans from most other species. Whereas such movements have been studied using a wide range of methods, only few studies have investigated synchronisation to real music stimuli in a cross-culturally comparative setting. The present study employs beat tracking evaluation metrics and accent histograms to analyze the differences in the ways participants from two cultural groups synchronize their tapping with either familiar or unfamiliar music stimuli. Instead of choosing two apparently remote cultural groups, we selected two groups of musicians that share cultural backgrounds, but that differ regarding the music style they specialize in. The employed method to record tapping responses in audio format facilitates a fine-grained analysis of metrical accents that emerge from the responses. The identified differences between groups are related to the metrical structures inherent to the two musical styles, such as non-isochronicity of the beat, and differences between the groups document the influence of the deep enculturation of participants to their style of expertise. Besides these findings, our study sheds light on a conceptual weakness of a common beat tracking evaluation metric, when applied to human tapping instead of machine generated beat estimations.
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3.
  • Frid, Emma, 1988-, et al. (författare)
  • Sound Forest - Evaluation of an Accessible Multisensory Music Installation
  • 2019
  • Ingår i: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. - New York, NY, USA : ACM. - 9781450359702 ; , s. 1-12
  • Konferensbidrag (refereegranskat)abstract
    • Sound Forest is a music installation consisting of a room with light-emitting interactive strings, vibrating platforms and speakers, situated at the Swedish Museum of Performing Arts. In this paper we present an exploratory study focusing on evaluation of Sound Forest based on picture cards and interviews. Since Sound Forest should be accessible for everyone, regardless age or abilities, we invited children, teens and adults with physical and intellectual disabilities to take part in the evaluation. The main contribution of this work lies in its fndings suggesting that multisensory platforms such as Sound Forest, providing whole-body vibrations, can be used to provide visitors of diferent ages and abilities with similar associations to musical experiences. Interviews also revealed positive responses to haptic feedback in this context. Participants of diferent ages used diferent strategies and bodily modes of interaction in Sound Forest, with activities ranging from running to synchronized music-making and collaborative play.
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6.
  • Ahlbäck, Sven, 1960- (författare)
  • MSTRE-Net: Multistreaming Acoustic Modeling for Automatic Lyrics Transcription
  • 2021
  • Konferensbidrag (refereegranskat)abstract
    • This paper makes several contributions to automatic lyrics transcription (ALT) research. Our main contribution is a novel variant of the Multistreaming Time-Delay Neural Network (MTDNN) architecture, called MSTRE-Net, which processes the temporal information using multiple streams in parallel with varying resolutions keeping the network more compact, and thus with a faster inference and an improved recognition rate than having identical TDNN streams. In addition, two novel preprocessing steps prior to training the acoustic model are proposed. First, we suggest using recordings from both monophonic and polyphonic domains during training the acoustic model. Second, we tag monophonic and polyphonic recordings with distinct labels for discriminating non-vocal silence and music instances during alignment. Moreover, we present a new test set with a considerably larger size and a higher musical variability compared to the existing datasets used in ALT literature, while maintaining the gender balance of the singers. Our best performing model sets the state-of-the-art in lyrics transcription by a large margin. For reproducibility, we publicly share the identifiers to retrieve the data used in this paper.
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7.
  • Ahlbäck, Sven, 1960- (författare)
  • Pitch-Informed Instrument Assignment using a Deep Convolutional Network with Multiple Kernel Shapes
  • 2021
  • Konferensbidrag (refereegranskat)abstract
    • This paper proposes a deep convolutional neural network for performing note-level instrument assignment. Given a polyphonic multi-instrumental music signal along with its ground truth or predicted notes, the objective is to assign an instrumental source for each note. This problem is addressed as a pitch-informed classification task where each note is analysed individually. We also propose to utilise several kernel shapes in the convolutional layers in order to facilitate learning of timbre-discriminative feature maps. Experiments on the MusicNet dataset using 7 instrument classes show that our approach is able to achieve an average F-score of 0.904 when the original multi-pitch annotations are used as the pitch information for the system, and that it also excels if the note information is provided using third-party multi-pitch estimation algorithms. We also include ablation studies investigating the effects of the use of multiple kernel shapes and comparing different input representations for the audio and the note-related information.
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  • Frid, Emma, 1988-, et al. (författare)
  • Haptic Music : Exploring Whole-Body Vibrations and Tactile Sound for a Multisensory Music Installation
  • 2020
  • Ingår i: Proceedings of the Sound and Music Computing Conference (SMC) 2020. - Torino, Italy. ; , s. 68-75
  • Konferensbidrag (refereegranskat)abstract
    • This paper presents a study on the composition of haptic music for a multisensory installation and how composers could be aided by a preparatory workshop focusing on the perception of whole-body vibrations prior to such a composition task. Five students from a Master’s program in Music Production were asked to create haptic music for the installation Sound Forest. The students were exposed to a set of different sounds producing whole-body vibrations through a wooden platform and asked to describe perceived sensations for respective sound. Results suggested that the workshop helped the composers successfully complete the composition task and that awareness of haptic possibilities of the multisensory installation could be improved through training. Moreover, the sounds used as stimuli provided a relatively wide range of perceived sensations, ranging from pleasant to unpleasant. Considerable intra-subject differences motivate future large-scale studies on the perception of whole-body vibrations in artistic music practice.
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10.
  • Gullö, Jan-Olof, 1961- (författare)
  • ‘50 years of “Smoke on the Water”: What can we learn?’
  • 2023
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
    • The song "Smoke on the Water", recorded by the British rock group Deep Purple in December 1971, had a global reach, and contributed much to Deep Purple's success and fandom. The song was recorded during a sound check when the band was jamming and trying out a location for a recording session and was initially not intended to be released. A turning point was a successful live album, "Made in Japan", in 1972, including the song. And over the years, the song has retained its popularity among many. But how can the success of Smoke on the Water be explained? The study includes interviews with music teachers, music directors, music students and musicians in different countries, as well as interviews with some original members of Deep Purple. The findings are empirically surprising and indicate tension regarding understanding what is most important in a specific musical performance and piece of music or recording, such as Smoke on the Water, between those who perform or produce and those who listen. In short, for many of those who study music and music production, the details of the music and various intrinsic aspects of musical content seem to be more important, compared to those who are more average listeners who seem to pay more attention to how the lyrics and music speak to them. Therefore, the results can help to highlight some possible areas of development. At least for those students who want to produce music and reach listeners who cannot analyse music and deeply understand various advanced musical aspects as well as they themselves can.
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