Language Identification Using Excitation Source Features

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Language Identification Using Excitation Source Features

Author : K. Sreenivasa Rao
Publisher : Springer
ISBN 13 : 3319177257
Total Pages : 128 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Language Identification Using Excitation Source Features by : K. Sreenivasa Rao

Download or read book Language Identification Using Excitation Source Features written by K. Sreenivasa Rao and published by Springer. This book was released on 2015-04-15 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the contribution of excitation source information in discriminating language. The authors focus on the excitation source component of speech for enhancement of language identification (LID) performance. Language specific features are extracted using two different modes: (i) Implicit processing of linear prediction (LP) residual and (ii) Explicit parameterization of linear prediction residual. The book discusses how in implicit processing approach, excitation source features are derived from LP residual, Hilbert envelope (magnitude) of LP residual and Phase of LP residual; and in explicit parameterization approach, LP residual signal is processed in spectral domain to extract the relevant language specific features. The authors further extract source features from these modes, which are combined for enhancing the performance of LID systems. The proposed excitation source features are also investigated for LID in background noisy environments. Each chapter of this book provides the motivation for exploring the specific feature for LID task, and subsequently discuss the methods to extract those features and finally suggest appropriate models to capture the language specific knowledge from the proposed features. Finally, the book discuss about various combinations of spectral and source features, and the desired models to enhance the performance of LID systems.

Speech Recognition Using Articulatory and Excitation Source Features

Author : K. Sreenivasa Rao
Publisher : Springer
ISBN 13 : 3319492209
Total Pages : 100 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Speech Recognition Using Articulatory and Excitation Source Features by : K. Sreenivasa Rao

Download or read book Speech Recognition Using Articulatory and Excitation Source Features written by K. Sreenivasa Rao and published by Springer. This book was released on 2017-01-11 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the contribution of articulatory and excitation source information in discriminating sound units. The authors focus on excitation source component of speech -- and the dynamics of various articulators during speech production -- for enhancement of speech recognition (SR) performance. Speech recognition is analyzed for read, extempore, and conversation modes of speech. Five groups of articulatory features (AFs) are explored for speech recognition, in addition to conventional spectral features. Each chapter provides the motivation for exploring the specific feature for SR task, discusses the methods to extract those features, and finally suggests appropriate models to capture the sound unit specific knowledge from the proposed features. The authors close by discussing various combinations of spectral, articulatory and source features, and the desired models to enhance the performance of SR systems.

Language Identification Using Spectral and Prosodic Features

Author : K. Sreenivasa Rao
Publisher : Springer
ISBN 13 : 3319171631
Total Pages : 106 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Language Identification Using Spectral and Prosodic Features by : K. Sreenivasa Rao

Download or read book Language Identification Using Spectral and Prosodic Features written by K. Sreenivasa Rao and published by Springer. This book was released on 2015-03-31 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the impact of spectral features extracted from frame level, glottal closure regions, and pitch-synchronous analysis on the performance of language identification systems. In addition to spectral features, the authors explore prosodic features such as intonation, rhythm, and stress features for discriminating the languages. They present how the proposed spectral and prosodic features capture the language specific information from two complementary aspects, showing how the development of language identification (LID) system using the combination of spectral and prosodic features will enhance the accuracy of identification as well as improve the robustness of the system. This book provides the methods to extract the spectral and prosodic features at various levels, and also suggests the appropriate models for developing robust LID systems according to specific spectral and prosodic features. Finally, the book discuss about various combinations of spectral and prosodic features, and the desired models to enhance the performance of LID systems.

Advances in Speech and Music Technology

Author : Anupam Biswas
Publisher : Springer Nature
ISBN 13 : 9813368810
Total Pages : 463 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Advances in Speech and Music Technology by : Anupam Biswas

Download or read book Advances in Speech and Music Technology written by Anupam Biswas and published by Springer Nature. This book was released on 2021-05-31 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features original papers from 25th International Symposium on Frontiers of Research in Speech and Music (FRSM 2020), jointly organized by National Institute of Technology, Silchar, India, during 8–9 October 2020. The book is organized in five sections, considering both technological advancement and interdisciplinary nature of speech and music processing. The first section contains chapters covering the foundations of both vocal and instrumental music processing. The second section includes chapters related to computational techniques involved in the speech and music domain. A lot of research is being performed within the music information retrieval domain which is potentially interesting for most users of computers and the Internet. Therefore, the third section is dedicated to the chapters related to music information retrieval. The fourth section contains chapters on the brain signal analysis and human cognition or perception of speech and music. The final section consists of chapters on spoken language processing and applications of speech processing.

Emotion Recognition using Speech Features

Author : K. Sreenivasa Rao
Publisher : Springer Science & Business Media
ISBN 13 : 1461451434
Total Pages : 134 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Emotion Recognition using Speech Features by : K. Sreenivasa Rao

Download or read book Emotion Recognition using Speech Features written by K. Sreenivasa Rao and published by Springer Science & Business Media. This book was released on 2012-11-07 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Emotion Recognition Using Speech Features” provides coverage of emotion-specific features present in speech. The author also discusses suitable models for capturing emotion-specific information for distinguishing different emotions. The content of this book is important for designing and developing natural and sophisticated speech systems. In this Brief, Drs. Rao and Koolagudi lead a discussion of how emotion-specific information is embedded in speech and how to acquire emotion-specific knowledge using appropriate statistical models. Additionally, the authors provide information about exploiting multiple evidences derived from various features and models. The acquired emotion-specific knowledge is useful for synthesizing emotions. Features includes discussion of: • Global and local prosodic features at syllable, word and phrase levels, helpful for capturing emotion-discriminative information; • Exploiting complementary evidences obtained from excitation sources, vocal tract systems and prosodic features in order to enhance the emotion recognition performance; • Proposed multi-stage and hybrid models for improving the emotion recognition performance. This brief is for researchers working in areas related to speech-based products such as mobile phone manufacturing companies, automobile companies, and entertainment products as well as researchers involved in basic and applied speech processing research.

Digital Transformation of Collaboration

Author : Aleksandra Przegalinska
Publisher : Springer Nature
ISBN 13 : 3030489930
Total Pages : 307 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Digital Transformation of Collaboration by : Aleksandra Przegalinska

Download or read book Digital Transformation of Collaboration written by Aleksandra Przegalinska and published by Springer Nature. This book was released on 2020-07-28 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings is focused on the emerging concept of Collaborative Innovation Networks (COINs). COINs are at the core of collaborative knowledge networks, distributed communities taking advantage of the wide connectivity and the support of communication technologies, spanning beyond the organizational perimeter of companies on a global scale. The book presents the refereed conference papers from the 7th International Conference on COINs, October 8-9, 2019, in Warsaw, Poland. It includes papers for both application areas of COINs, (1) optimizing organizational creativity and performance, and (2) discovering and predicting new trends by identifying COINs on the Web through online social media analysis. Papers at COINs19 combine a wide range of interdisciplinary fields such as social network analysis, group dynamics, design and visualization, information systems and the psychology and sociality of collaboration, and intercultural analysis through the lens of online social media. They will cover most recent advances in areas from leadership and collaboration, trend prediction and data mining, to social competence and Internet communication.

Extraction and Representation of Prosody for Speaker, Speech and Language Recognition

Author : Leena Mary
Publisher : Springer Science & Business Media
ISBN 13 : 1461411599
Total Pages : 70 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Extraction and Representation of Prosody for Speaker, Speech and Language Recognition by : Leena Mary

Download or read book Extraction and Representation of Prosody for Speaker, Speech and Language Recognition written by Leena Mary and published by Springer Science & Business Media. This book was released on 2011-10-17 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extraction and Representation of Prosodic Features for Speech Processing Applications deals with prosody from speech processing point of view with topics including: The significance of prosody for speech processing applications Why prosody need to be incorporated in speech processing applications Different methods for extraction and representation of prosody for applications such as speech synthesis, speaker recognition, language recognition and speech recognition This book is for researchers and students at the graduate level.

Prosodic Featured Based Automatic Language Identification

Author : Niraj Singh
Publisher : Educreation Publishing
ISBN 13 :
Total Pages : 136 pages
Book Rating : 4./5 ( download)

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Book Synopsis Prosodic Featured Based Automatic Language Identification by : Niraj Singh

Download or read book Prosodic Featured Based Automatic Language Identification written by Niraj Singh and published by Educreation Publishing. This book was released on 2015-11-02 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Living beings inherently have the ability to differentiate languages as a part of human intelligence. Language Identification (LID) had been a science fiction in 1970's but today; it has been deployed in practical usage. The prosodic features of a speech are relatively simpler in their structure and are accredited to be very affective in some Language Recognition (LR) or LID tasks; irrespective of these features to be biased on numerous factors, as speaker's way of speaking, the culture and background of speaker. The book includes a series of experiments on several speech corpus with different classification or/and identification technique. At the end of each chapter, few review questions have been included and at the verge of the book, a short list of projects for research scholars has been mentioned in addition to a set of MCQs and Important questions. This book motivates for developing a multilingual LID system which can be widely used for betterment of mankind, particularly in the fields of Intelligence Police/Military) services and medical care. In an overview, we may assert that the book explores various experimental datasets, for, performance analysis of LID system with News speech and Natural Conversation speech; Joint Factor Analysis for LR on prosodic featured models and for automatic LID using i-Vector based prosodic system.

Multilingual Phone Recognition in Indian Languages

Author : K.E Manjunath
Publisher : Springer Nature
ISBN 13 : 303080741X
Total Pages : 113 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Multilingual Phone Recognition in Indian Languages by : K.E Manjunath

Download or read book Multilingual Phone Recognition in Indian Languages written by K.E Manjunath and published by Springer Nature. This book was released on 2021-10-05 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents current research and developments in multilingual speech recognition. The author presents a Multilingual Phone Recognition System (Multi-PRS), developed using a common multilingual phone-set derived from the International Phonetic Alphabets (IPA) based transcription of six Indian languages - Kannada, Telugu, Bengali, Odia, Urdu, and Assamese. The author shows how the performance of Multi-PRS can be improved using tandem features. The book compares Monolingual Phone Recognition Systems (Mono-PRS) versus Multi-PRS and baseline versus tandem system. Methods are proposed to predict Articulatory Features (AFs) from spectral features using Deep Neural Networks (DNN). Multitask learning is explored to improve the prediction accuracy of AFs. Then, the AFs are explored to improve the performance of Multi-PRS using lattice rescoring method of combination and tandem method of combination. The author goes on to develop and evaluate the Language Identification followed by Monolingual phone recognition (LID-Mono) and common multilingual phone-set based multilingual phone recognition systems.

Applications of Cuckoo Search Algorithm and its Variants

Author : Nilanjan Dey
Publisher : Springer Nature
ISBN 13 : 9811551634
Total Pages : 328 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Applications of Cuckoo Search Algorithm and its Variants by : Nilanjan Dey

Download or read book Applications of Cuckoo Search Algorithm and its Variants written by Nilanjan Dey and published by Springer Nature. This book was released on 2020-06-23 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the basic concepts of the CS algorithm and its variants, and their use in solving diverse optimization problems in medical and engineering applications. Evolutionary-based meta-heuristic approaches are increasingly being applied to solve complicated optimization problems in several real-world applications. One of the most successful optimization algorithms is the Cuckoo search (CS), which has become an active research area to solve N-dimensional and linear/nonlinear optimization problems using simple mathematical processes. CS has attracted the attention of various researchers, resulting in the emergence of numerous variants of the basic CS with enhanced performance since 2019.

Extraction of Prosody for Automatic Speaker, Language, Emotion and Speech Recognition

Author : Leena Mary
Publisher : Springer
ISBN 13 : 3319911716
Total Pages : 70 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Extraction of Prosody for Automatic Speaker, Language, Emotion and Speech Recognition by : Leena Mary

Download or read book Extraction of Prosody for Automatic Speaker, Language, Emotion and Speech Recognition written by Leena Mary and published by Springer. This book was released on 2018-08-02 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: This updated book expands upon prosody for recognition applications of speech processing. It includes importance of prosody for speech processing applications; builds on why prosody needs to be incorporated in speech processing applications; and presents methods for extraction and representation of prosody for applications such as speaker recognition, language recognition and speech recognition. The updated book also includes information on the significance of prosody for emotion recognition and various prosody-based approaches for automatic emotion recognition from speech.

Advances in Signal Processing and Intelligent Recognition Systems

Author : Sabu M. Thampi
Publisher : Springer Science & Business Media
ISBN 13 : 3319049607
Total Pages : 607 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Advances in Signal Processing and Intelligent Recognition Systems by : Sabu M. Thampi

Download or read book Advances in Signal Processing and Intelligent Recognition Systems written by Sabu M. Thampi and published by Springer Science & Business Media. This book was released on 2014-02-14 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume contains a selection of refereed and revised papers originally presented at the International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2014), March 13-15, 2014, Trivandrum, India. The program committee received 134 submissions from 11 countries. Each paper was peer reviewed by at least three or more independent referees of the program committee and the 52 papers were finally selected. The papers offer stimulating insights into Pattern Recognition, Machine Learning and Knowledge-Based Systems; Signal and Speech Processing; Image and Video Processing; Mobile Computing and Applications and Computer Vision. The book is directed to the researchers and scientists engaged in various field of signal processing and related areas.

Advances in Ubiquitous Computing

Author : Amy Neustein
Publisher : Academic Press
ISBN 13 : 0128168943
Total Pages : 338 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Advances in Ubiquitous Computing by : Amy Neustein

Download or read book Advances in Ubiquitous Computing written by Amy Neustein and published by Academic Press. This book was released on 2020-04-07 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Ubiquitous Computing: Cyber-Physical Systems, Smart Cities and Ecological Monitoring debuts some of the newest methods and approaches to multimodal user-interface design, safety compliance, formal code verification and deployment requirements, as they pertain to cyber-physical systems, smart homes and smart cities, and biodiversity monitoring. In this anthology, the authors assiduously examine a panoply of topics related to wireless sensor networks. These topics include interacting with smart-home appliances and biomedical devices, designing multilingual speech recognition systems that are robust to vehicular, mechanical and other noises common to large metropolises, and an examination of new methods of speaker recognition to control for the emotion-state of the speaker, which can easily impede speaker verification over a wireless medium. This volume recognizes that any discussion of pervasive computing in smart cities must not end there, as the perilous effects of climate change proves that our lives are not circumscribed by the geographically sculpted boundaries of cities, counties, countries, or continents. Contributors address present and emerging technologies of scalable biodiversity monitoring: pest control, disease transmission, environmental monitoring, and habitat preservation. The need to collect, store, process, and interpret vast amounts of data originating from sources spread over large areas and for prolonged periods of time requires immediate data storage and processing, reliable networking, and solid communication infrastructure, along with intelligent data analysis and interpretation methods that can resolve contradictions and uncertainty in the data—all of which can be bolstered by modern advances in ubiquitous computing. - Examines the history, scope and advances in ubiquitous computing, including threats to wildlife, tracking of disease, smart cities and Wireless Sensor Networks - Discusses user interface design, implementation and deployment of cyber-physical systems, such as wireless sensor networks, Internet of Things devices, and other networks of physical devices that have computational capabilities and reporting devices - Covers the need for improved data sharing networks

Robust Emotion Recognition using Spectral and Prosodic Features

Author : K. Sreenivasa Rao
Publisher : Springer Science & Business Media
ISBN 13 : 1461463602
Total Pages : 127 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Robust Emotion Recognition using Spectral and Prosodic Features by : K. Sreenivasa Rao

Download or read book Robust Emotion Recognition using Spectral and Prosodic Features written by K. Sreenivasa Rao and published by Springer Science & Business Media. This book was released on 2013-01-13 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this brief, the authors discuss recently explored spectral (sub-segmental and pitch synchronous) and prosodic (global and local features at word and syllable levels in different parts of the utterance) features for discerning emotions in a robust manner. The authors also delve into the complementary evidences obtained from excitation source, vocal tract system and prosodic features for the purpose of enhancing emotion recognition performance. Features based on speaking rate characteristics are explored with the help of multi-stage and hybrid models for further improving emotion recognition performance. Proposed spectral and prosodic features are evaluated on real life emotional speech corpus.

Proceedings of the International Conference on Natural Language Processing (ICON--2005)

Author :
Publisher : Allied Publishers
ISBN 13 : 9788177649604
Total Pages : 144 pages
Book Rating : 4.6/5 (496 download)

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Book Synopsis Proceedings of the International Conference on Natural Language Processing (ICON--2005) by :

Download or read book Proceedings of the International Conference on Natural Language Processing (ICON--2005) written by and published by Allied Publishers. This book was released on 2005 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contributed papers presented at the 2005 International Conference, held at IIT Kanpur, organized by NLP Association of India, etc.

Intelligent Computing and Optimization

Author : Pandian Vasant
Publisher : Springer Nature
ISBN 13 : 3031501519
Total Pages : 456 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Intelligent Computing and Optimization by : Pandian Vasant

Download or read book Intelligent Computing and Optimization written by Pandian Vasant and published by Springer Nature. This book was released on 2023-12-14 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book of Springer Nature is another proof of Springer’s outstanding greatness on the lively interface of Holistic Computational Optimization, Green IoTs, Smart Modeling, and Deep Learning! It is a masterpiece of what our community of academics and experts can provide when an interconnected approach of joint, mutual, and meta-learning is supported by advanced operational research and experience of the World-Leader Springer Nature! The 6th edition of International Conference on Intelligent Computing and Optimization took place at G Hua Hin Resort & Mall on April 27–28, 2023, with tremendous support from the global research scholars across the planet. Objective is to celebrate “Research Novelty with Compassion and Wisdom” with researchers, scholars, experts, and investigators in Intelligent Computing and Optimization across the globe, to share knowledge, experience, and innovation—a marvelous opportunity for discourse and mutuality by novel research, invention, and creativity. This proceedings book of the 6th ICO’2023 is published by Springer Nature—Quality Label of Enlightenment.

Speech and Language Processing for Human-Machine Communications

Author : S. S. Agrawal
Publisher : Springer
ISBN 13 : 9811066264
Total Pages : 223 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Speech and Language Processing for Human-Machine Communications by : S. S. Agrawal

Download or read book Speech and Language Processing for Human-Machine Communications written by S. S. Agrawal and published by Springer. This book was released on 2017-11-15 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volumes cover diverse topics ranging from communications networks to big data analytics, and from system architecture to cyber security. This volume focuses on Speech and Language Processing for Human-Machine Communications. The contents of this book will be useful to researchers and students alike.