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Speech and Computer : 26th International Conference, SPECOM 2024, Belgrade, Serbia, November 25–28, 2024, Proceedings, Part II / edited by Alexey Karpov, Vlado Delić.

Springer Nature - Springer Computer Science (R0) eBooks 2025 English International Available online

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Format:
Book
Author/Creator:
Karpov, Alexey.
Contributor:
Delić, Vlado.
Series:
Lecture Notes in Artificial Intelligence, 2945-9141 ; 15300
Language:
English
Subjects (All):
Artificial intelligence.
Image processing--Digital techniques.
Image processing.
Computer vision.
Computer engineering.
Computer networks.
Application software.
Artificial Intelligence.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computer Engineering and Networks.
Computer and Information Systems Applications.
Local Subjects:
Artificial Intelligence.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computer Engineering and Networks.
Computer and Information Systems Applications.
Physical Description:
1 online resource (391 pages)
Edition:
1st ed. 2025.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Summary:
The two-volume set LNAI 15299 and 15300 constitutes the refereed proceedings of the 26th International Conference on Speech and Computer, SPECOM 2024, held in Belgrade, Serbia, during November 25–28, 2024. The 53 full papers included in these proceedings were carefully reviewed and selected from 90 submissions. The book also contains two invited talks in full paper length. The papers are organized in the following topical sections: Volume I: Invited papers; automatic speech recognition; speech and language resources; speech synthesis and perception; and speech processing for medicine. Volume II: Computational paralinguistics; affective computing; speaker recognition; digital speech processing; natural language processing.
Contents:
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.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
9783031780141
3031780140
OCLC:
1473822195

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