We propose AI-Lyricist: a system to generate novel yet meaningful lyrics given a required
vocabulary and a MIDI file as inputs. This task involves multiple challenges, including …

Software logs play an essential role in ensuring the reliability and maintainability of large-
scale software systems, as they are often the sole source of runtime information. Log …

Artificial emotional intelligence (AEI) is an important ability for intelligent systems.
Representing emotional states as a continuous sentiment intensity could achieve a more …

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 …

Melody-to-lyrics generation, which is based on syllable-level generation, is an intriguing and
challenging topic in the interdisciplinary field of music, multimedia, and machine learning …

Electronic music artists and sound designers have unique workflow practices that
necessitate specialized approaches for develo** music information retrieval and creativity …

We describe a real-time system that receives a live audio stream from a jam session and
generates lyric lines that are congruent with the live music being played. Two novel …

We address the challenge of enhancing coherence in generated lyrics from symbolic music,
particularly for creating singing-based language learning materials. Coherence, defined as …

The generation of music lyrics by artificial intelligence (AI) is frequently modeled as a
language-targeted sequence-to-sequence generation task. Formally, if we convert the …

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 …