1st Edition

Artificial Intelligence and Speech Technology Proceedings of the 2nd International Conference on Artificial Intelligence and Speech Technology, (AIST2020), 19-20 November, 2020, Delhi, India

Edited By Amita Dev, Arun Sharma, S.S. Agrawal Copyright 2021

    The 2nd International Conference on Artificial Intelligence and Speech Technology (AIST2020) was organized by Indira Gandhi Delhi Technical University for Women, Delhi, India on November 19–20, 2020. AIST2020 is dedicated to cutting-edge research that addresses the scientific needs of academic researchers and industrial professionals to explore new horizons of knowledge related to Artificial Intelligence and Speech Technologies. AIST2020 includes high-quality paper presentation sessions revealing the latest research findings, and engaging participant discussions. The main focus is on novel contributions which would open new opportunities for providing better and low-cost solutions for the betterment of society. These include the use of new AI-based approaches like Deep Learning, CNN, RNN, GAN, and others in various Speech related issues like speech synthesis, speech recognition, etc.

    1. Classification approaches for automatic speech recognition system 2. Early detection of PCOD using machine learning techniques 3. Application of real-time object detection techniques for bird detection 4. Machine learning algorithms used for detection of prostate cancer 5. How training of sigmoidal FFANN affected by weight initialization 6. Machine learning for web development: A fusion 7. Bot attack detection using various machine learning algorithms 8. Present scenario of emotionally intelligent voice-based Conversational Agents in India 9. Blockchain-based secured data transmission of IoT sensors using thingspeak 10. Impact of energy storage device on the performance of AGC using ALO tuned PID controller 11. The instrument to measure happiness at workplace 12. IoT based smart cyber sealing system 13. A novel approach for summarizing legal judgements using graph 14. Deep CNN architectures for learning image classification: A systematic review, taxonomy and open challenges 15. The quest for crop improvement in the era of artificial intelligence, machine learning, and other cognitive sciences 16. A run-through: Text independent speaker identification using deep learning 17. Summarization of video lectures 18. Artificial intelligence approach in video summarization 19. Extractive summarization of recorded Odia spoken feedback 20. Frame change detection in videos – challenges and research directions 21. Speech impairment recognition using XGBoost classifier 22. Research insight of Indian tonal languages: A review 23. Advances in speech vocoding for text-to-speech with continuous parameters 24. Applying entity recognition and verb role labelling for information extraction of Tamil biomedicine 25. Identification of two tribal languages of India: An experimental study 26. Mental illness diagnosis from social network data using effective machine learning technique 27. Hybrid classifier for brain tumor detection and classification 28. Parametric study of through transmission laser welding with teaching learning based optimization 29. Research landscape of artificial intelligence in human resource management: A bibliometric overview 30. An efficient Class-F PA with SSL/SIL based matching network for body centric wireless transceiver 31. Envisaging the future homes with ‘human-building interaction’ 32. Comparative analysis of first-order optimization algorithms 33. A review on application of artificial intelligence techniques in control of industrial processes 34. Crop monitoring system for effective prediction of agricultural analytics in Indian agriculture using WSN 35. Trend analysis of meteorological index SPI using statistical and machine learning models over the region of Marathwada 36. An insight into reconfigurable antenna design 37. Optimized XGBoost algorithm using agglomerative clustering for effective user context identification 38. 1D CNN based approach for speech emotion recognition using MFCC features 39. Review on text detection and recognition in images 40. Comparative analysis of machine learning algorithms on gender classification using Hindi speech data 41. COVID-19 detection through Mamdani-based fuzzy inference system 42. Assistive technology is a boon or bane: A case of persons with disabilities 43. Sensor data fusion using machine learning techniques in indoor occupancy detection 44. Covid’19 virus life progress span by using machine learning algorithms and time series methods 45. Sustainable development through adoption of digitization towards functioning of self help groups 46. Security and vulnerability issues in NoSQL 47. Artificial intelligence applications and techniques in interactive and adaptive smart learning environments 48. SIM-BERT: Speech intelligence model using NLP-BERT with improved accuracy 49. A literature review on virtual assistant for visually impaired 50. Congestion control mechanisms to avoid congestion in VANET: A comparative review 51. Comparative Study of various Stable and Unstable sorting Algorithms 52. Prediction analysis of forecasting applications with concept drifting distributions 53. A hybrid cardiovascular disease prediction system using machine learning algorithms 54. Financial inclusion via Fintech: A conceptual framework for digitalizing the banking landscape of rural India


    Amita Dev, Vice-Chancellor, Indira Gandhi Delhi Technical University for Women, Delhi

    Arun Sharma, Professor – IT, Indira Gandhi Delhi Technical University for Women, Delhi

    S. S. Agrawal, Emeritus Scientist, CSIR