標(biāo)題: Titlebook: Artificial Intelligence and Speech Technology; Third International Amita Dev,S. S. Agrawal,Arun Sharma Conference proceedings 2022 Springe [打印本頁] 作者: intern 時間: 2025-3-21 17:19
書目名稱Artificial Intelligence and Speech Technology影響因子(影響力)
書目名稱Artificial Intelligence and Speech Technology影響因子(影響力)學(xué)科排名
書目名稱Artificial Intelligence and Speech Technology網(wǎng)絡(luò)公開度
書目名稱Artificial Intelligence and Speech Technology網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligence and Speech Technology被引頻次
書目名稱Artificial Intelligence and Speech Technology被引頻次學(xué)科排名
書目名稱Artificial Intelligence and Speech Technology年度引用
書目名稱Artificial Intelligence and Speech Technology年度引用學(xué)科排名
書目名稱Artificial Intelligence and Speech Technology讀者反饋
書目名稱Artificial Intelligence and Speech Technology讀者反饋學(xué)科排名
作者: CT-angiography 時間: 2025-3-21 23:01
Metabolic Dysfunction in Arthritis,like office timings, address, admission procedure, accommodation information, etc. Voice Assistants are the future of Natural language HCI. Prashn is a web application that allows users to get all the necessary information about Indira Gandhi Delhi Technical University for Women, Delhi either through a chat interface or through speech recognition.作者: 知識分子 時間: 2025-3-22 02:47
Alan Park FRICS, MCIOB, ACIArb., FAFM native language rather than that of the American English. This paper contributes towards the contrastive study of vowel triangles and the appearance of the closeness of vowel cardinal space (ɑ, i, u) of Hindi, Indian English and American English using distance formula.作者: 慢慢沖刷 時間: 2025-3-22 08:02 作者: 衰老 時間: 2025-3-22 12:42 作者: 狂熱文化 時間: 2025-3-22 15:04 作者: 分開 時間: 2025-3-22 20:17 作者: 寵愛 時間: 2025-3-22 22:16 作者: CAMEO 時間: 2025-3-23 01:34
1865-0929 recognition and understanding, affective speech recognition, interpretation and synthesis, speech interface design and human factors engineering, speech emotion recognition technologies, audio-visual speech processing and several others..978-3-030-95710-0978-3-030-95711-7Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: Physiatrist 時間: 2025-3-23 05:42
Metabolic Dysfunction in Arthritis,nd even surpasses them. There has been much significant advancement in this area in the last few years. Deep learning is developing at an accelerated rate, making it difficult for new investigators to keep pace of its many kinds. We will quickly cover current developments in Deep Learning in the last several years in this article.作者: 松軟 時間: 2025-3-23 12:40
https://doi.org/10.1007/978-3-540-78899-7work, Gaussian mixture modeling, Generative adversarial network, Deep Neural Network and Hidden Markov Model are employed in this work to enhance the speech naturalness and quality of synthesized speech signals.作者: 散開 時間: 2025-3-23 13:59 作者: considerable 時間: 2025-3-23 21:39 作者: 多節(jié) 時間: 2025-3-24 00:43 作者: PHIL 時間: 2025-3-24 04:22
A Review on Speech Synthesis Based on Machine Learningwork, Gaussian mixture modeling, Generative adversarial network, Deep Neural Network and Hidden Markov Model are employed in this work to enhance the speech naturalness and quality of synthesized speech signals.作者: Project 時間: 2025-3-24 09:23 作者: 違抗 時間: 2025-3-24 12:33
Feature Extraction and Sentiment Analysis Using Machine Learning algorithms like KNN, SVM, and random forest are used for the analysis of the performance. The evaluation measures are calculated at the end to validate the results. K-fold cross validation scheme is also applied on the dataset to improve the overall accuracy of the results.作者: 注射器 時間: 2025-3-24 15:01 作者: 字謎游戲 時間: 2025-3-24 20:21
Conference proceedings 2022eld in Delhi, India, in November 2021.?.The 36 full papers and 18 short papers presented were thoroughly reviewed and selected from the 178 submissions. They provide a discussion on application of Artificial Intelligence tools in speech analysis, representation and models, spoken language recognitio作者: Ondines-curse 時間: 2025-3-25 03:02 作者: 枯燥 時間: 2025-3-25 06:21
https://doi.org/10.1007/978-3-540-78899-7tries, including healthcare, military telecommunications, and personal computing, use speech recognition programmes. In our paper, we are including the comparison between the different feature extraction methods (BFCC, GFCC, MFCC, MFCC Delta, MFCC Double Delta, LFCC and NGCC) using neural networks.作者: 銀版照相 時間: 2025-3-25 10:04 作者: Contend 時間: 2025-3-25 12:05 作者: 背景 時間: 2025-3-25 17:12
Speaker Independent Accent Based Speech Recognition for Malayalam Isolated Words: An LSTM-RNN Approay languages accent-based speech recognition is an area that is yet to be explored in many languages. Speech recognition by humans is an intuitive process and so is a tough process to make the computers automatically recognize human speech. Although speech recognition has achieved promising achieveme作者: 爭議的蘋果 時間: 2025-3-25 21:03 作者: Favorable 時間: 2025-3-26 02:09
Hindi Phoneme Recognition - A Reviewch characteristics, features used in phoneme recognition, and classification method highlighted. Related work was also presented to highlight issues concerned with feature extraction, classification, and distinct features. Earlier reviews mostly addressed speech recognition technologies. This work i作者: 神圣不可 時間: 2025-3-26 06:55 作者: Pedagogy 時間: 2025-3-26 10:01
Latest Trends in Deep Learning for Automatic Speech Recognition Systemdiest areas of study right now. Computational vision and pattern recognition have benefited greatly from the dramatic advances made possible by deep learning techniques. New deep learning approaches are already being suggested, offering performance that outperforms current state-of-the-art methods a作者: 大方一點 時間: 2025-3-26 15:01 作者: GRIPE 時間: 2025-3-26 19:57
Survey on Automatic Speech Recognition Systems for Indic Languagesor a single speaker to authenticating the speaker has a long history of improvisations and experiments. Human’s Speech Recognition has been fascinating problem amongst speech and natural language processing researchers. Speech is the utmost vital and indispensable way of transferring information amo作者: 打火石 時間: 2025-3-27 00:38 作者: Slit-Lamp 時間: 2025-3-27 04:00 作者: 未完成 時間: 2025-3-27 05:37 作者: LAVE 時間: 2025-3-27 11:54
A Neural Network Based Approach for Text-Level Sentiment Analysis Using Sentiment Lexiconsthrough free expression of users. Internet as well as web 2.0 is overflowing with the data generated by users which provides a good source for various sentiments, reviews, and evaluations. Opinion mining more popularly known as sentiment analysis classifies the text document based on a positive or n作者: 沒有貧窮 時間: 2025-3-27 16:01 作者: Diverticulitis 時間: 2025-3-27 19:24
Prashn: University Voice Assistantof its website and there is no common layout for finding specific information. This can be difficult for users, especially potential students who are trying to compare different universities to decide where to get admitted in. Natural Language Human-Computer Interaction (HCI) is trending these days 作者: Jogging 時間: 2025-3-28 00:06 作者: 提煉 時間: 2025-3-28 02:45 作者: Tremor 時間: 2025-3-28 08:51 作者: 禁止,切斷 時間: 2025-3-28 13:03
Indian Languages Requirements for String Search/comparison on Web that contain the various text files that cover syntactic content and natural language content in some structural markup language. In order to process these types of data, it requires various string based operations such as searching, indexing, sorting, regular expressions etc. These documents inspe作者: nauseate 時間: 2025-3-28 16:30
https://doi.org/10.1007/978-3-030-95711-7artificial intelligence; computational linguistics; computer networks; computer systems; computer vision作者: 沉著 時間: 2025-3-28 21:14
978-3-030-95710-0Springer Nature Switzerland AG 2022作者: Talkative 時間: 2025-3-29 01:01
Artificial Intelligence and Speech Technology978-3-030-95711-7Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: chronicle 時間: 2025-3-29 03:10
Contributions to Management Scienced DNNs. Most of the recent survey literature is surpassed in this article. Which shows how, over the last 30?years, analysis and product growth on AVSR robustness in noisy acoustic conditions has progressed? There are various categories of languages covered, with coverage, development processes, Cor作者: obstinate 時間: 2025-3-29 09:54 作者: MAZE 時間: 2025-3-29 13:15
https://doi.org/10.1007/978-3-540-78899-7e speech synthesis system is more advantageous to physically impaired people. In execution process, there arise some complications by surrounding noises and communication style. To neglect such unnecessary noises various machine learning techniques are employed. In this paper, we described various t作者: 勉勵 時間: 2025-3-29 17:30
Metabolic Dysfunction in Arthritis,ch characteristics, features used in phoneme recognition, and classification method highlighted. Related work was also presented to highlight issues concerned with feature extraction, classification, and distinct features. Earlier reviews mostly addressed speech recognition technologies. This work i作者: hemophilia 時間: 2025-3-29 22:37
https://doi.org/10.1007/978-3-540-78899-7d appliances (a godsend for many incapacitated persons), as well as supplying input for automatic translation and ready-to-print dictation. Many industries, including healthcare, military telecommunications, and personal computing, use speech recognition programmes. In our paper, we are including th作者: 蛙鳴聲 時間: 2025-3-30 02:08 作者: 輕觸 時間: 2025-3-30 07:52
Metabolic Dysfunction in Arthritis,ces. The number of published techniques for speaker recognition algorithms is text-dependent. On the other hand, text-independent speech recognition appears to be more advantageous since the user can freely interact with the system. Several scholars have suggested a variety of strategies for detecti作者: Offset 時間: 2025-3-30 11:10
Does Arthritis Have a Nutritional Etiology?,or a single speaker to authenticating the speaker has a long history of improvisations and experiments. Human’s Speech Recognition has been fascinating problem amongst speech and natural language processing researchers. Speech is the utmost vital and indispensable way of transferring information amo作者: 幻想 時間: 2025-3-30 13:34 作者: Confirm 時間: 2025-3-30 19:59
Metabolic Dysfunction in Arthritis,ut the national and international affairs through online news which is readily available and portable allowing ease of access. These news pieces tend to shape people’s thoughts and provoke emotions, which may be positive, neutral or negative, without them realizing their effect. The objective of thi作者: Initial 時間: 2025-3-30 23:57
Does Arthritis Have a Nutritional Etiology?,ess or organization to better understand their customers. There are several platforms where people can easily post their views about a service or products, these can be facebook, twitter e.t.c. Feature extraction or aspect extraction becomes important since one needs to know the qualities a product 作者: Opponent 時間: 2025-3-31 03:33
Metabolic Dysfunction in Arthritis,through free expression of users. Internet as well as web 2.0 is overflowing with the data generated by users which provides a good source for various sentiments, reviews, and evaluations. Opinion mining more popularly known as sentiment analysis classifies the text document based on a positive or n作者: SCORE 時間: 2025-3-31 06:20
Metabolic Dysfunction in Arthritis,jabi is a part of the Indo Aryan family. Regional languages have an impact on English in this borrowing and code-mixing process because borrowed words go through a make-up caused by phonetic features of the regional languages. In India, English is the medium of media, science, and technology & its i作者: 漂亮 時間: 2025-3-31 09:27
