Language Identification Using Spectral and Prosodic Features

Language Identification Using Spectral and Prosodic Features PDF Author: K. Sreenivasa Rao
Publisher: Springer
ISBN: 3319171631
Category : Technology & Engineering
Languages : en
Pages : 106

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Book Description
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.

Language Identification Using Spectral and Prosodic Features

Language Identification Using Spectral and Prosodic Features PDF Author: K. Sreenivasa Rao
Publisher: Springer
ISBN: 3319171631
Category : Technology & Engineering
Languages : en
Pages : 106

Get Book Here

Book Description
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.

Language Identification Using Excitation Source Features

Language Identification Using Excitation Source Features PDF Author: K. Sreenivasa Rao
Publisher: Springer
ISBN: 3319177257
Category : Technology & Engineering
Languages : en
Pages : 128

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Book Description
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.

Robust Emotion Recognition using Spectral and Prosodic Features

Robust Emotion Recognition using Spectral and Prosodic Features PDF Author: K. Sreenivasa Rao
Publisher: Springer Science & Business Media
ISBN: 1461463602
Category : Technology & Engineering
Languages : en
Pages : 127

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Book Description
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 International Joint Conference on Advances in Computational Intelligence

Proceedings of International Joint Conference on Advances in Computational Intelligence PDF Author: Mohammad Shorif Uddin
Publisher: Springer Nature
ISBN: 9819701805
Category :
Languages : en
Pages : 797

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Book Description


Speaker Classification I

Speaker Classification I PDF Author: Christian Müller
Publisher: Springer
ISBN: 354074200X
Category : Computers
Languages : en
Pages : 363

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Book Description
This volume and its companion volume LNAI 4441 constitute a state-of-the-art survey in the field of speaker classification. Together they address such intriguing issues as how speaker characteristics are manifested in voice and speaking behavior. The nineteen contributions in this volume are organized into topical sections covering fundamentals, characteristics, applications, methods, and evaluation.

Speech and Language Technologies for Low-Resource Languages

Speech and Language Technologies for Low-Resource Languages PDF Author: Bharathi Raja Chakravarthi
Publisher: Springer Nature
ISBN: 3031584953
Category :
Languages : en
Pages : 470

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Book Description


Intelligent Sustainable Systems

Intelligent Sustainable Systems PDF Author: Jennifer S. Raj
Publisher: Springer Nature
ISBN: 9811928940
Category : Technology & Engineering
Languages : en
Pages : 825

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Book Description
This book features research papers presented at the 5th International Conference on Intelligent Sustainable Systems (ICISS 2022), held at SCAD College of Engineering and Technology, Tirunelveli, Tamil Nadu, India, during February 17–18, 2022. The book discusses latest research works that discusses the tools, methodologies, practices, and applications of sustainable systems and computational intelligence methodologies. The book is beneficial for readers from both academia and industry.

Information Systems Design and Intelligent Applications

Information Systems Design and Intelligent Applications PDF Author: Suresh Chandra Satapathy
Publisher: Springer
ISBN: 8132227557
Category : Technology & Engineering
Languages : en
Pages : 735

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Book Description
The third international conference on INformation Systems Design and Intelligent Applications (INDIA – 2016) held in Visakhapatnam, India during January 8-9, 2016. The book covers all aspects of information system design, computer science and technology, general sciences, and educational research. Upon a double blind review process, a number of high quality papers are selected and collected in the book, which is composed of three different volumes, and covers a variety of topics, including natural language processing, artificial intelligence, security and privacy, communications, wireless and sensor networks, microelectronics, circuit and systems, machine learning, soft computing, mobile computing and applications, cloud computing, software engineering, graphics and image processing, rural engineering, e-commerce, e-governance, business computing, molecular computing, nano-computing, chemical computing, intelligent computing for GIS and remote sensing, bio-informatics and bio-computing. These fields are not only limited to computer researchers but also include mathematics, chemistry, biology, bio-chemistry, engineering, statistics, and all others in which computer techniques may assist.

Speech and Computer

Speech and Computer PDF Author: Alexey Karpov
Publisher: Springer Nature
ISBN: 303148312X
Category : Computers
Languages : en
Pages : 587

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Book Description
The two-volume proceedings set LNAI 14338 and 14339 constitutes the refereed proceedings of the 25th International Conference on Speech and Computer, SPECOM 2023, held in Dharwad, India, during November 29–December 2, 2023. The 94 papers included in these proceedings were carefully reviewed and selected from 174 submissions. They focus on all aspects of speech science and technology: ​automatic speech recognition; computational paralinguistics; digital signal processing; speech prosody; natural language processing; child speech processing; speech processing for medicine; industrial speech and language technology; speech technology for under-resourced languages; speech analysis and synthesis; speaker and language identification, verification and diarization.

Second Language Prosody and Computer Modeling

Second Language Prosody and Computer Modeling PDF Author: Okim Kang
Publisher: Routledge
ISBN: 100043558X
Category : Language Arts & Disciplines
Languages : en
Pages : 188

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Book Description
This volume presents an interdisciplinary approach to the study of second language prosody and computer modeling. It addresses the importance of prosody’s role in communication, bridging the gap between applied linguistics and computer science. The book illustrates the growing importance of the relationship between automated speech recognition systems and language learning assessment in light of new technologies and showcases how the study of prosody in this context in particular can offer innovative insights into the computerized process of natural discourse. The book offers detailed accounts of different methods of analysis and computer models used and demonstrates how these models can be applied to L2 discourse analysis toward predicting real-world language use. Kang, Johnson, and Kermad also use these frameworks as a jumping-off point from which to propose new models of second language prosody and future directions for prosodic computer modeling more generally. Making the case for the use of naturalistic data for real-world applications in empirical research, this volume will foster interdisciplinary dialogues across students and researchers in applied linguistics, speech communication, speech science, and computer engineering.