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Deep learning approaches in topics of singing information processing
Singing, the vocal productionof musical tones, is one of the most important elements of
music. Addressing the needs of real-world applications, the study of technologies related to …
music. Addressing the needs of real-world applications, the study of technologies related to …
Unveiling the essence of poetry: Introducing a comprehensive dataset and benchmark for poem summarization
While research in natural language processing has progressed significantly in creative
language generation, the question of whether language models can interpret the intended …
language generation, the question of whether language models can interpret the intended …
Interpreting song lyrics with an audio-informed pre-trained language model
Lyric interpretations can help people understand songs and their lyrics quickly, and can also
make it easier to manage, retrieve and discover songs efficiently from the growing mass of …
make it easier to manage, retrieve and discover songs efficiently from the growing mass of …
[PDF][PDF] Text-to-Lyrics Generation With Image-Based Semantics and Reduced Risk of Plagiarism.
This paper proposes a text-to-lyrics generation method, aiming to provide lyric writing
support by suggesting the generated lyrics to users who struggle to find the right words to …
support by suggesting the generated lyrics to users who struggle to find the right words to …
A computational evaluation framework for singable lyric translation
Lyric translation plays a pivotal role in amplifying the global resonance of music, bridging
cultural divides, and fostering universal connections. Translating lyrics, unlike conventional …
cultural divides, and fostering universal connections. Translating lyrics, unlike conventional …
Scansion-based lyrics generation
We aim to generate lyrics for Mandarin songs with a good match between the melody and
the tonal contour of the lyrics. Our solution relies on mBart, treating lyrics generation as a …
the tonal contour of the lyrics. Our solution relies on mBart, treating lyrics generation as a …
OpenMU: Your Swiss Army Knife for Music Understanding
We present OpenMU-Bench, a large-scale benchmark suite for addressing the data scarcity
issue in training multimodal language models to understand music. To construct OpenMU …
issue in training multimodal language models to understand music. To construct OpenMU …
Analysis of the Arab singer Shadia's lyrics
In this work, we analyze the lyrics of one of the most famous and influential Arab artists in the
twentieth century, namely (Shadia). Lyrics analysis provides a deep insight into the artist's …
twentieth century, namely (Shadia). Lyrics analysis provides a deep insight into the artist's …
Charting the Universe of Metal Music Lyrics and Analyzing Their Relation to Perceived Audio Hardness
We analyze the relationship between the musical and the lyrical content of metal music by
combining automated audio feature extraction and quantitative text analysis on a corpus of …
combining automated audio feature extraction and quantitative text analysis on a corpus of …
Computational lexical analysis of Flamenco genres
Flamenco, recognized by UNESCO as part of the Intangible Cultural Heritage of Humanity,
is a profound expression of cultural identity rooted in Andalusia, Spain. However, there is a …
is a profound expression of cultural identity rooted in Andalusia, Spain. However, there is a …