Metaphor and music emotion: Ancient views and future directions

Pannese, Alessia; Rappaz, Marc-André; Grandjean, Didier

doi:10.1016/j.concog.2016.06.015

Cited by 21 publications

(13 citation statements)

References 71 publications

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“…Metaphors were also able to 'mediate language, emotion and esthetic response' the way other art forms can, such as music (Pannese et al, 2016). Metaphors helped the women follow Cree protocols that dictate teachings should be kind and gentle so no harm comes to another, and so the negative energy of past events was not brought forward into the present.…”

Section: Discussionmentioning

confidence: 99%

Perspectives on restoring health shared by Cree women, Alberta, Canada

Gesink

Whiskeyjack²,

Guimond

2018

Health Promotion International

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The purpose of this study was to explore nehiyaw iskwêwak (Cree women's) perceptions and beliefs about how to restore balance to health. Fifteen indigenous women from Northern Alberta, Canada, participated in a 3-day cultural retreat on beauty and art in British Columbia, Canada, in May 2015. At the end of the retreat, these women were invited to participate in a talking circle and asked, 'What does restoring balance look like?' A constructivist grounded theory approach was used to explore individual and collective perspectives on restoring health. Nehiyaw iskwêwak provided a vision of health using metaphors from the natural environment. Starting points and core characteristics of health were grounded in relationship with self, others, place and the land, suggesting interventions grounded in land-based pedagogy and focused on restoring relationship and secure attachment might be effective for this population. Nehiyaw iskwêwak also said interventions should start at the individual level; as the individual restores balance mentally, emotionally, physically and spiritually, a long-term ripple effect can be initiated through the generations and community when these women in turn support the strengthening and nurturing of relations (e.g. parents, siblings, friends, children, grandchildren) for the next seven generations.

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Section: Discussionmentioning

confidence: 99%

Perspectives on restoring health shared by Cree women, Alberta, Canada

Gesink

Whiskeyjack²,

Guimond

2018

Health Promotion International

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“…Music has been with us since prehistoric times, serving as a language to express our emotions. This is regarded as music's primary purpose [20] and the "ultimate reason why humans engage with it" [21].…”

Section: Music and Emotion: Overviewmentioning

confidence: 99%

“…The relations between music and emotions have been debated for millennia, with associations between modes and emotions found in ancient texts, from Indian, Middle Eastern (e.g., Persian), and far eastern (e.g., Japanese) traditions [21]. Natya Shastra (Nāṭ ya Śāstra), an ancient Sanskrit Hindu text describing performance arts, estimated to have been written somewhere between 500 B.C.…”

Section: Music and Emotion: Overviewmentioning

confidence: 99%

Audio Features for Music Emotion Recognition: A Survey

Panda

Malheiro

Paiva

2023

IEEE Trans. Affective Comput.

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The design of meaningful audio features is a key need to advance the state-of-the-art in Music Emotion Recognition (MER). This work presents a survey on the existing emotionally-relevant computational audio features, supported by the music psychology literature on the relations between eight musical dimensions (melody, harmony, rhythm, dynamics, tone color, expressivity, texture and form) and specific emotions. Based on this review, current gaps and needs are identified and strategies for future research on feature engineering for MER are proposed, namely ideas for computational audio features that capture elements of musical form, texture and expressivity that should be further researched. Finally, although the focus of this article is on classical feature engineering methodologies (based on handcrafted features), perspectives on deep learning-based approaches are discussed.

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“…Sometimes, this emotional effect is counterintuitive, as even sad music can evoke pleasure and comfort in listeners [6,7]. Pannese et al [8] used the conceptual metaphor of a chain of musical emotion that emanates from a recording or performance and works its way to the audience and listeners. The performer or composer transmits emotion at the production level.…”

Section: Introductionmentioning

confidence: 99%

Deep-Learning-Based Multimodal Emotion Classification for Music Videos

Pandeya

Bhattarai

Lee

2021

Sensors

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Music videos contain a great deal of visual and acoustic information. Each information source within a music video influences the emotions conveyed through the audio and video, suggesting that only a multimodal approach is capable of achieving efficient affective computing. This paper presents an affective computing system that relies on music, video, and facial expression cues, making it useful for emotional analysis. We applied the audio–video information exchange and boosting methods to regularize the training process and reduced the computational costs by using a separable convolution strategy. In sum, our empirical findings are as follows: (1) Multimodal representations efficiently capture all acoustic and visual emotional clues included in each music video, (2) the computational cost of each neural network is significantly reduced by factorizing the standard 2D/3D convolution into separate channels and spatiotemporal interactions, and (3) information-sharing methods incorporated into multimodal representations are helpful in guiding individual information flow and boosting overall performance. We tested our findings across several unimodal and multimodal networks against various evaluation metrics and visual analyzers. Our best classifier attained 74% accuracy, an f1-score of 0.73, and an area under the curve score of 0.926.

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Metaphor and music emotion: Ancient views and future directions

Cited by 21 publications

References 71 publications

Perspectives on restoring health shared by Cree women, Alberta, Canada

Perspectives on restoring health shared by Cree women, Alberta, Canada

Audio Features for Music Emotion Recognition: A Survey

Deep-Learning-Based Multimodal Emotion Classification for Music Videos

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