activity
20192026
most citedProsodic Prominence and Boundaries in Sequence-to-Sequence Speech Synthesis

7 citations · 26 across the 15 of their papers we have counts for

collaborators
Showing eess.ASShow all

11 papers · 1 filter

eess.AS2026

Benchmarking Adult Addressee Classification Across Child- and Adult-Directed Speech Datasets

Sofoklis Kakouros, Daniil Kocharov, Okko Räsänen

In this work, we present a comprehensive analysis of classification performance for distinguishing child-directed speech (CDS) from adult-directed speech (ADS) using speech data fr…

eess.AS2026

Cross-linguistic Prosodic Analysis of Autistic and Non-autistic Child Speech in Finnish, French and Slovak

Ida-Lotta Myllylä, Sofoklis Kakouros

Prosodic differences in autism are well-documented, but cross-linguistic evidence remains limited. This study investigates prosody in autism across a multilingual corpus of Finnish…

eess.AS2026

Classification of Autistic and Non-Autistic Children's Speech: A Cross-Linguistic Study in Finnish, French, and Slovak

Sofoklis Kakouros, Ida-Lotta Myllylä

We present a cross-linguistic study of speech in autistic and non-autistic children speaking Finnish, French, and Slovak. We combine supervised classification with within-language…

eess.AS2026

iMiGUE-Speech: A Spontaneous Speech Dataset for Affective Analysis

Sofoklis Kakouros, Fang Kang, Haoyu Chen

This work presents iMiGUE-Speech, an extension of the iMiGUE dataset that provides a spontaneous affective corpus for studying emotional and affective states. The new release focus…

eess.AS2023★ 1 cited

Investigating the Utility of Surprisal from Large Language Models for Speech Synthesis Prosody

Sofoklis Kakouros, Juraj Šimko, Martti Vainio +1

This paper investigates the use of word surprisal, a measure of the predictability of a word in a given context, as a feature to aid speech synthesis prosody. We explore how word s…

eess.AS2023

The Power of Prosody and Prosody of Power: An Acoustic Analysis of Finnish Parliamentary Speech

Martti Vainio, Antti Suni, Juraj Šimko +1

Parliamentary recordings provide a rich source of data for studying how politicians use speech to convey their messages and influence their audience. This provides a unique context…

eess.AS2023★ 1 cited

North Sámi Dialect Identification with Self-supervised Speech Models

Sofoklis Kakouros, Katri Hiovain-Asikainen

The North Sámi (NS) language encapsulates four primary dialectal variants that are related but that also have differences in their phonology, morphology, and vocabulary. The unique…

eess.AS2022

Speech-based emotion recognition with self-supervised models using attentive channel-wise correlations and label smoothing

Sofoklis Kakouros, Themos Stafylakis, Ladislav Mosner +1

When recognizing emotions from speech, we encounter two common problems: how to optimally capture emotion-relevant information from the speech signal and how to best quantify or ca…

eess.AS2022★ 1 cited

Extracting speaker and emotion information from self-supervised speech models via channel-wise correlations

Themos Stafylakis, Ladislav Mosner, Sofoklis Kakouros +3

Self-supervised learning of speech representations from large amounts of unlabeled data has enabled state-of-the-art results in several speech processing tasks. Aggregating these s…

eess.AS2020★ 7 cited

Prosodic Prominence and Boundaries in Sequence-to-Sequence Speech Synthesis

Antti Suni, Sofoklis Kakouros, Martti Vainio +1

Recent advances in deep learning methods have elevated synthetic speech quality to human level, and the field is now moving towards addressing prosodic variation in synthetic speec…

eess.AS2020★ 7 cited

Dialect Identification of Spoken North Sámi Language Varieties Using Prosodic Features

Sofoklis Kakouros, Katri Hiovain, Martti Vainio +1

This work explores the application of various supervised classification approaches using prosodic information for the identification of spoken North Sámi language varieties. Dialec…