E-raamat: Speech and Computer: 26th International Conference, SPECOM 2024, Belgrade, Serbia, November 25-28, 2024, Proceedings, Part I

Invited Papers.- Preserving Language Heritage Through Speech Technology:
The Case of Upper Sorbian.- Retrospective and Perspectives of TTS & STT
Technology Development and Implementation for South Slavic Under-Resourced
Languages.- Automatic Speech Recognition.- Comparison of Well- and
Lower-Resourced Self-Training in ASR.- Towards a Livvi-Karelian End-to-End
ASR System.- Advances in OpenASR21 Evaluation with Increased Temporal
Resolution for Speech Self-Supervised Learning Models.- Benchmarking Whisper
under Diverse Audio Transformations and Real-time Constraints.- AutoMode-ASR:
Learning to Select ASR Systems for Better Quality and Cost.- Pre-Training and
Adverse Audio Samples for Data-Efficient Wake Word Detection.- Cross-Lingual
Summarization of Speech-to-Speech Translation: A Baseline.- Speech and
Language Resources.- The ParlaSpeech Collection of Automatically Generated
Speech and Text Corpora from Parliamentary Proceedings.- ESC Corpus of Spoken
Russian: Everyday Student Conversations Captured through Continuous Speech
Recording in Natural Communicative Environments.- OpenAV: Bilingual Dataset
for Audio-Visual Voice Control of a Computer for Hand Disabled
People.- Bulgarian Speech Resources in the CHILDES System.- Multiword Units
in Russian Everyday Speech: Empirical Classification and Corpus-Based
Studies.- Neurophysiological Correlates of Textual Modulation in Visual
Stimuli: An Experimental Study of Russian and English Memes.- Speech
Synthesis and Perception.- End-to-End Speech Synthesis for the Serbian
Language Based on Tacotron.- ChildTinyTalks (CTT): A Benchmark Dataset and
Baseline for Expressive Child Speech Synthesis.- Multidimensional Rhythm:
Comparing Rhythmic Properties of Australian and New Zealand
Monologues.- Influence of Linguistic and Sociolinguistic Factors on Speech
Rate Perception.- Human and Machine Keyphrase Perception in Russian Text and
Speech.- Assessment of Childrens Ability to Manifest Emotions in Facial
Expressions, Voice and Speech by Humans, Automatic, and on a Likert
Scale.- Speech Processing for Medicine.- Investigating the Utility of wav2vec
2.0 Hidden Layers for Detecting Multiple Sclerosis.- Cross-Cultural Automatic
Depression Detection based on Audio Signals.- Depression Classification using
Token Merging-based Speech Spectrotemporal Transformer.- Detecting Depression
from Audio Data.- Binary and Multiclass Classification of Dysphonia Using
Whisper Encoder and One-Dimensional Convolutional Neural Network.- Approach
to Assessing the Quality of Syllable Pronunciation by Patients in the Process
of Speech Rehabilitation Based on Comparison with Healthy Speakers.- A
Comparative Study for Contextualized Spoken Answer Classification in German
Medical Questionnaires.