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

1 Computational Paralinguistics.- A Cross-Multi-Modal Fusion Approach
for Enhanced Engagement Recognition.- Automatic Assessment of Signs of
Alcohol Dependency Syndrome from Spontaneous Speech.- An Enhanced Compact
Convolution Transformer for Age, Gender and Emotion Detection in Egyptian
Arabic Speech.- RAG and Few-Shot Prompting in Emotional Text
Generation.- Sentiment Analysis for Egyptian Arabic-English Code-Switched
Data using Traditional Neural Models and Advanced Language Models.- Automatic
Detection of Irony Based on Acoustic Features and Facial
Expressions.- Affective Computing.- Emotion Recognition by Vocalizations of
Nonhuman Primates: Human and Automatic Classification.- MMHS: Multimodal
Model for Hate Speech Intensity Prediction.- Multimodal Emotion Recognition
using Compressed Graph Neural Networks.-Utilizing Speaker Models and Topic
Markers for Emotion Recognition in Dialogues.- How Children Recognize
Emotions from Video and Audio.- Speaker Recognition.- On the Influence of
CNN-based Feature Learning Modules in Neural Speaker Verification
Framework.- Voice Cloning and Mismatch Conditions in Forensic Automatic
Speaker Recognition.- Transformation of Emotional Speech to Anger Speech to
Reduce Mismatches in Testing and Enrollment Speech for Speaker Recognition
System.- Investigating Data Requirements for Hindi Speaker Recognition: A
Comparative Study with English.- Practical Evaluation and Validation of
Methods for Automatic Speaker Identification (as Applied to Various
Languages).- Digital Speech Processing.- In Pursuit for the Best Error Metric
for Optimisation of Articulatory Vowel Synthesis.- Exploring MetaConformer
for Speech Enhancement.- Integration of Short-Term and Long-Term Harmonic
Peaks in a Two-Level Discriminative Weight Training Framework for Voice
Activity Detection.- Separating Party Conversation by Applying Contrastive
Learning Methodology.- DuFCALF: Instilling Sentience in Computerized Song
Analysis.- Natural Language Processing.-Harnessing Knowledge Distillation for
Enhanced Text-to-Text Translation in Low-Resource Languages.- Bias Unveiled:
Enhancing Fairness in German Word Embeddings with Large Language
Models.- Conformer LLM - Convolution Augmented Large Language Models.- How to
Detect Imbalances in the Google Books Ngram Corpus?.- Predicting the Valence
Rating of Russian Words Using Various Pre-Trained Word Embeddings.- 3 Ancient
Egyptian Hieroglyphic Texts Structure Identification.