東華大學圖書館 |

Artificial intelligence and speech technology = 6th International Conference, AIST 2024, Delhi, India, November 13-14, 2024 : proceedings.. Part I /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence and speech technology/ edited by Arun Sharma, Ritu Rani.
其他題名:	6th International Conference, AIST 2024, Delhi, India, November 13-14, 2024 : proceedings.
其他題名:	AIST 2024
其他作者:	Sharma, Arun.
團體作者:	International Conference on Artificial Intelligence and Speech Technology
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xxv, 361 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-91331-0
ISBN:	9783031913310

Artificial intelligence and speech technology = 6th International Conference, AIST 2024, Delhi, India, November 13-14, 2024 : proceedings.. Part I /
Artificial intelligence and speech technology6th International Conference, AIST 2024, Delhi, India, November 13-14, 2024 : proceedings.Part I /[electronic resource] :AIST 2024edited by Arun Sharma, Ritu Rani. - Cham :Springer Nature Switzerland :2025. - xxv, 361 p. :ill. (some col.), digital ;24 cm. - Communications in computer and information science,23891865-0937 ;. - Communications in computer and information science ;2389..

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.

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.

ISBN: 9783031913310

Standard No.: 10.1007/978-3-031-91331-0doiSubjects--Topical Terms:

606815
Artificial intelligence
--Congresses.

LC Class. No.: Q335 / .I58 2024

Dewey Class. No.: 006.3

Artificial intelligence and speech technology = 6th International Conference, AIST 2024, Delhi, India, November 13-14, 2024 : proceedings.. Part I /
LDR:04718nmm a2200349 a 4500 001 2409765
003 DE-He213
005 20250529130248.0
006 m d
007 cr nn 008maaau
008 260204s2025 sz s 0 eng d
020 $a 9783031913310 $q (electronic bk.)
020 $a 9783031913303 $q (paper)
024 7 $a 10.1007/978-3-031-91331-0 $2 doi
035 $a 978-3-031-91331-0
040 $a GP $c GP
041 0 $a eng
050 4 $a Q335 $b .I58 2024
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q335 $b .I61 2024
111 2 $a International Conference on Artificial Intelligence and Speech Technology $n (6th : $d 2024 : $c Delhi, India) $3 3783171
245 1 0 $a Artificial intelligence and speech technology $h [electronic resource] : $b 6th International Conference, AIST 2024, Delhi, India, November 13-14, 2024 : proceedings. $n Part I / $c edited by Arun Sharma, Ritu Rani.
246 3 $a AIST 2024
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xxv, 361 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Communications in computer and information science, $x 1865-0937 ; $v 2389
505 0 $a 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.
520 $a 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.
650 0 $a Artificial intelligence $v Congresses. $3 606815
650 0 $a Speech processing systems $x Congresses. $3 678615
650 1 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Computer Engineering and Networks. $3 3538504
650 2 4 $a Computer Application in Social and Behavioral Sciences. $3 3538516
650 2 4 $a Computers and Education. $3 892757
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
700 1 $a Sharma, Arun. $3 3446331
700 1 $a Rani, Ritu. $3 3783172
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Communications in computer and information science ; $v 2389. $3 3783173
856 4 0 $u https://doi.org/10.1007/978-3-031-91331-0
950 $a Computer Science (SpringerNature-11645)