Artificial Intelligence and Speech Technology

6th International Conference, AIST 2024, Delhi, India, November 13–14, 2024, Proceedings, Part I

AvArun Sharma,Ritu Rani

Häftad, Engelska, 2025

Del 2389 i serien Communications in Computer and Information Science

1 459 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

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.

Produktinformation

Utgivningsdatum:2025-05-30
Mått:155 x 235 x 21 mm
Vikt:587 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:361
Förlag:Springer International Publishing AG
ISBN:9783031913303

Utforska kategorier

Innehållsförteckning

.- 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.