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20222026
most citedZero-Shot Cross-lingual Aphasia Detection using Automatic Speech Recognition

4 citations · 10 across the 20 of their papers we have counts for

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cs.SD2026

Pay (Cross) Attention to the Melody: Curriculum Masking for Single-Encoder Melodic Harmonization

Maximos Kaliakatsos-Papakostas, Dimos Makris, Konstantinos Soiledis +3

Melodic harmonization, the task of generating harmonic accompaniments for a given melody, remains a central challenge in computational music generation. Recent single encoder trans…

cs.SD2025

Incorporating Structure and Chord Constraints in Symbolic Transformer-based Melodic Harmonization

Maximos Kaliakatsos-Papakostas, Konstantinos Soiledis, Theodoros Tsamis +3

Transformer architectures offer significant advantages regarding the generation of symbolic music; their capabilities for incorporating user preferences toward what they generate i…

cs.SD2025

A Machine Learning Approach for MIDI to Guitar Tablature Conversion

Maximos Kaliakatsos-Papakostas, Gregoris Bastas, Dimos Makris +3

Guitar tablature transcription consists in deducing the string and the fret number on which each note should be played to reproduce the actual musical part. This assignment should…

cs.SD2023

Weakly-supervised Automated Audio Captioning via text only training

Theodoros Kouzelis, Vassilis Katsouros

In recent years, datasets of paired audio and captions have enabled remarkable success in automatically generating descriptions for audio clips, namely Automated Audio Captioning (…

cs.SD2023★ 2 cited

Investigating Personalization Methods in Text to Music Generation

Manos Plitsis, Theodoros Kouzelis, Georgios Paraskevopoulos +2

In this work, we investigate the personalization of text-to-music diffusion models in a few-shot setting. Motivated by recent advances in the computer vision domain, we are the fir…

cs.SD2022

Regotron: Regularizing the Tacotron2 architecture via monotonic alignment loss

Efthymios Georgiou, Kosmas Kritsis, Georgios Paraskevopoulos +3

Recent deep learning Text-to-Speech (TTS) systems have achieved impressive performance by generating speech close to human parity. However, they suffer from training stability issu…