1 option
Artificial Intelligence and Speech Technology : 6th International Conference, AIST 2024, Delhi, India, November 13–14, 2024, Proceedings, Part I / edited by Arun Sharma, Ritu Rani.
Springer Nature - Springer Computer Science (R0) eBooks 2025 English International Available online
View online- Format:
- Book
- Series:
- Communications in Computer and Information Science, 1865-0937 ; 2389
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computer engineering.
- Computer networks.
- Social sciences--Data processing.
- Social sciences.
- Education--Data processing.
- Education.
- Image processing--Digital techniques.
- Image processing.
- Computer vision.
- Artificial Intelligence.
- Computer Engineering and Networks.
- Computer Application in Social and Behavioral Sciences.
- Computers and Education.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Local Subjects:
- Artificial Intelligence.
- Computer Engineering and Networks.
- Computer Application in Social and Behavioral Sciences.
- Computers and Education.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Physical Description:
- 1 online resource (XXV, 361 p. 134 illus., 101 illus. in color.)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
- Summary:
- This two-volume set, CCIS 2389 and CCIS 2390, constitutes selected papers presented at the 6th International Conference on Artificial Intelligence and Speech Technology, AIST 2024, held in Delhi, India, during November 13–14, 2024. The 40 full papers and 15 short papers presented in these proceedings were carefully reviewed and selected from 398 submissions.These papers focus on Speech Technology using AI and AI innovations for CV and NLP. They have been categorized under the following topical sections:- Part I : Trends and Applications in Speech Processing; Recent Trends in Speech and NLP; Emerging trends in Speech Processing; Advances in Computational Linguistics and NLP. Part II : Recent Trends in Machine Learning and Deep Learning; Analysis using Hybrid technologies with Artificial Intelligence; Exploring New Horizons in Computer Vision Research.
- Contents:
- Trends and Applications in Speech Processing.
- Speech Emotion Classification with Acoustic Features using 1D CNN and LSTM Networks.
- Analysis of Online Hate Speech Detection for Multilingual and Multimodal Data using Artificial Intelligence.
- Unveiling Voices: Deep Learning Based Noise Dissipation with Real-Time Multi-Speech Separation and Speaker Recognition.
- Rule-based Named Entity Recognition for Hindi.
- Identification of Speaker-Specific Features to Minimize the Mismatch Outcomes for Speaker Recognition using Anger and Happy Emotional Speech.
- EMOTIONAL SPEECH CORPUS: A REVIEW .
- Human Evaluation of Some Machine Translation Toolkits for English-Hindi Language Pair.
- Recent Trends in Speech and NLP.
- Bilingual Speech Translation Between Tamil and Telugu with Elimination of Dependency on Any Intermediate Languages.
- CTC-Based Automatic Speech Recognition for Hindi language.
- NITK-TIEKLS: A Text-Independent Emotional Kannada Language Speech Dataset for Speaker Recognition.
- Audioverse: Personalized Story-telling Using Voice Cloning.
- Optimizing Speaker Recognition through Feature Extraction Techniques: A Focus on Gujarati Dialects.
- Survey on the Availability of Datasets for Machine Translation Systems in Indian Languages.
- Speech Summarization Diverse Challenges and Advancements.
- Emerging trends in Speech Processing.
- Identifying Disaster-Related Tweets using Natural Language Processing and Core Machine Learning Algorithms.
- AI-Driven Essay Evaluation: Enhancing Accuracy and Fairness in Automated Scoring Systems.
- Machine Learning and Neural Networks for Enhanced Autism Spectrum Detection ASD Detection with ABIDE preprocessed Dataset.
- A.R.I.S.E. Artificial Recognition and Intelligent Sign-language Eyewear - A Multifunctional Smart Glasses System for Enhanced Accessibility and User Assistance.
- Bridging the Gap: Real-Time ASL Fingerspelling to Sentence Translation.
- Translating Heritage: A Transformer-Oriented Method for Neural Machine Translation from Sanskrit to Hindi.
- SHiTraD: Sanskrit-Hindi Translation Dataset.
- Advances in Computational Linguistics and NLP.
- Advanced Speech Recognition: Techniques, Challenges, and Applications.
- Emotional Arousal of Female Politicians: Distinguishing Enthusiasm and Anger Using Data Augmentation and Machine Learning.
- Comparing Audio Speech Recognition and Video Speech Recognition using Neural Networks.
- Sign Language to Speech Conversion in Regional Language (Tamil).
- A FRAMEWORK USING FEATURE MAPS TO IMPROVE SPEECH DELIVERY IN PRE-SCHOOLERS.
- Echoes of Concern: Security Challenges in Voice Assistant Systems.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-031-91331-0
- OCLC:
- 1524422037
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.