Speech and Computer – Part I

.- Automatic Speech Recognition.
.- Understanding Personalization Gains in Whisper ASR.
.- Cross-Lingual Robustness of Zipformer: Czech and German ASR Benchmarking Study.
.- LoRA-Based Speech-Augmented Language Model Adaptation for Hungarian ASR.
.- A Corpus-Based Approach to Candidate Generation for Korean Dialect ASR Post-Processing.
.- How Robust are Modern Automatic Speech Recognizers to Domain and Temporal Mismatch? A Study on the Less-Resourced Slovenian Language.
.- Sequential Domain Adaptation of Whisper for Kazakh Academic Lecture Speech Recognition.
.- Speech Processing for Healthcare.
.- Emotion-Trajectory-Driven Segment Selection for Depression Severity Prediction.
.- Impact of Audio Codecs on Automatic Depression Detection: A Cross-Corpus Study.
.- Exploring Voice and Speech as ADHD Markers.
.- Electroglottographic Features of Children with ADHD: a Pilot Study.
.- Iterative LLM-based Improvement for French Clinical Interview Transcription and Speaker Diarization.
.- Exploiting Large Language Models in Safety-Critical Medical Helplines: a Study in Serbian and English.
.- Explainable Cognitive Impairments Classification in Russian Speech .
.- eGeMAPS-Based Detection of Alzheimer’s Disease in Russian Speech: A Pilot Study.
.- ASR Personalization in Pathological Voice: Accuracy, Efficiency, and Duration Effects.
.- Dysarthric Speech Analysis.
.- Effects of Dysarthria on Speech Prosody- A Case Study.
.- Prosodic Features for Classification of Normal vs. Dysarthric Speech.
.- Cross-Lingual Dysarthria Detection: Rigorous Evaluation Methodology and Transfer Analysis Across Four Languages.
.- VocalPlan-AV: A Two-Stage Audio-Visual Framework for Dysarthric ASR using Vocal-Plan Reconstruction.
.- Personalized Speech Recovery Tracking with Wav2vec 2.0: A Longitudinal Study on Head-and-Neck Surgery Patients.
.- Natural Language Processing.
.- A Multi-Stage Method for Training Semantic Search Models.
.- Comparing Large Language Models for Aspect-Based Sentiment Analysis of Student Experience from Russian-Language Online Course
Reviews.
.- Synchronic and Diachronic Models of Motivation Ratings of English Words.
.- AI vs. Human Emotional Narratives: A Comparative Study of Subclausal Units in LLM-Generated and Human Spoken Texts.
.- LEMON: Factor-Level Semantic Alignment for Graph–Text Pairs.
.- Processing Under-Resourced Languages.
.- Utilizing LLMs for Domain Specific Corpus Augmentation for Sorbian Languages.
.- A System for Automatic Transcription of Macedonian Parliamentary Speech.
.- Acoustic Distinctiveness of Dialects: A Machine–Learning Approach to Clustering Southern Min Varieties.
.- PA-Profile: What Makes ASR-Derived Speech-Sound-Disorder Screening Work? A Study in English and Low-Resource Language
Kannada.
.- Semantic Selection and Filtering of Pseudo-Labelled Data for Low-Resource Speech Translation.
.- A Comprehensive Objective Evaluation of Modern Text-to-Speech for Turkish using Speech Quality Assessment Models.
.- Multi-Style Child TTS: An Expressive Text-to-Speech System for Children in Low-Resource Scenarios.

• Erscheinungsdatum: 18.09.2026
• Autor/Autorin: Alexey Karpov
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 33 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 486 Seiten
• ISBN: 9783032378675
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.