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20162026
most citedSEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression

22 citations · 108 across the 43 of their papers we have counts for

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6 papers · 1 filter

cs.SD2026

Deterministic Prompting for Speaker-Stable Low-Resource Greek TTS

Georgios Syllas, Efthymios Georgiou, Kosmas Kritsis +1

Modern TTS systems approach human quality for high-resource languages but degrade when clean speech data is scarce. Modern Greek exemplifies this, lacking the curated corpora behin…

cs.SD2023

From West to East: Who can understand the music of the others better?

Charilaos Papaioannou, Emmanouil Benetos, Alexandros Potamianos

Recent developments in MIR have led to several benchmark deep learning models whose embeddings can be used for a variety of downstream tasks. At the same time, the vast majority of…

cs.SD2023★ 3 cited

Efficient Audio Captioning Transformer with Patchout and Text Guidance

Thodoris Kouzelis, Grigoris Bastas, Athanasios Katsamanis +1

Automated audio captioning is multi-modal translation task that aim to generate textual descriptions for a given audio clip. In this paper we propose a full Transformer architectur…

cs.SD2022★ 1 cited

A Dataset for Greek Traditional and Folk Music: Lyra

Charilaos Papaioannou, Ioannis Valiantzas, Theodoros Giannakopoulos +2

Studying under-represented music traditions under the MIR scope is crucial, not only for developing novel analysis tools, but also for unveiling musical functions that might prove…

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…

cs.SD2018★ 21 cited

Integrating Recurrence Dynamics for Speech Emotion Recognition

Efthymios Tzinis, Georgios Paraskevopoulos, Christos Baziotis +1

We investigate the performance of features that can capture nonlinear recurrence dynamics embedded in the speech signal for the task of Speech Emotion Recognition (SER). Reconstruc…