Artificial Neural Networks for Speech Analysis/synthesis
Author | : Mazin G. Rahim |
Publisher | : Kluwer Academic Publishers |
Total Pages | : 224 |
Release | : 1994 |
Genre | : Computers |
ISBN | : |
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Author | : Mazin G. Rahim |
Publisher | : Kluwer Academic Publishers |
Total Pages | : 224 |
Release | : 1994 |
Genre | : Computers |
ISBN | : |
Author | : Gerard Chollet |
Publisher | : Springer Science & Business Media |
Total Pages | : 352 |
Release | : 2012-12-06 |
Genre | : Technology & Engineering |
ISBN | : 1447108450 |
Speech Processing, Recognition and Artificial Neural Networks contains papers from leading researchers and selected students, discussing the experiments, theories and perspectives of acoustic phonetics as well as the latest techniques in the field of spe ech science and technology. Topics covered in this book include; Fundamentals of Speech Analysis and Perceptron; Speech Processing; Stochastic Models for Speech; Auditory and Neural Network Models for Speech; Task-Oriented Applications of Automatic Speech Recognition and Synthesis.
Author | : Nilanjan Dey |
Publisher | : Academic Press |
Total Pages | : 210 |
Release | : 2019-04-02 |
Genre | : Technology & Engineering |
ISBN | : 0128181303 |
Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics, creating collaboration networks between several participants, and implementing video-conferencing in different application areas. Chapters focus on the latest applications of speech data analysis and management tools across different recording systems. The book emphasizes the multidisciplinary nature of the field, presenting different applications and challenges with extensive studies on the design, development and management of intelligent systems, neural networks and related machine learning techniques for speech signal processing.
Author | : Alexey Karpov |
Publisher | : Springer |
Total Pages | : 845 |
Release | : 2017-09-01 |
Genre | : Computers |
ISBN | : 3319664298 |
This book constitutes the proceedings of the 19th International Conference on Speech and Computer, SPECOM 2017, held in Hatfield, UK, in September 2017. The 80 papers presented in this volume were carefully reviewed and selected from 150 submissions. The papers present current research in the area of computer speech processing (recognition, synthesis, understanding etc.) and related domains (including signal processing, language and text processing, computational paralinguistics, multi-modal speech processing, human-computer interaction).
Author | : Yoav Goldberg |
Publisher | : Springer Nature |
Total Pages | : 20 |
Release | : 2022-06-01 |
Genre | : Computers |
ISBN | : 3031021657 |
Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries. The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.
Author | : Bhanu Prasad |
Publisher | : Springer Science & Business Media |
Total Pages | : 419 |
Release | : 2008-01-03 |
Genre | : Computers |
ISBN | : 3540753974 |
Humans are remarkable in processing speech, audio, image and some biomedical signals. Artificial neural networks are proved to be successful in performing several cognitive, industrial and scientific tasks. This peer reviewed book presents some recent advances and surveys on the applications of artificial neural networks in the areas of speech, audio, image and biomedical signal processing. It chapters are prepared by some reputed researchers and practitioners around the globe.
Author | : Stephen Levinson |
Publisher | : Springer Nature |
Total Pages | : 104 |
Release | : 2022-06-01 |
Genre | : Technology & Engineering |
ISBN | : 3031025636 |
This book addresses the problem of articulatory speech synthesis based on computed vocal tract geometries and the basic physics of sound production in it. Unlike conventional methods based on analysis/synthesis using the well-known source filter model, which assumes the independence of the excitation and filter, we treat the entire vocal apparatus as one mechanical system that produces sound by means of fluid dynamics. The vocal apparatus is represented as a three-dimensional time-varying mechanism and the sound propagation inside it is due to the non-planar propagation of acoustic waves through a viscous, compressible fluid described by the Navier-Stokes equations. We propose a combined minimum energy and minimum jerk criterion to compute the dynamics of the vocal tract during articulation. Theoretical error bounds and experimental results show that this method obtains a close match to the phonetic target positions while avoiding abrupt changes in the articulatory trajectory. The vocal folds are set into aerodynamic oscillation by the flow of air from the lungs. The modulated air stream then excites the moving vocal tract. This method shows strong evidence for source-filter interaction. Based on our results, we propose that the articulatory speech production model has the potential to synthesize speech and provide a compact parameterization of the speech signal that can be useful in a wide variety of speech signal processing problems. Table of Contents: Introduction / Literature Review / Estimation of Dynamic Articulatory Parameters / Construction of Articulatory Model Based on MRI Data / Vocal Fold Excitation Models / Experimental Results of Articulatory Synthesis / Conclusion
Author | : Management Association, Information Resources |
Publisher | : IGI Global |
Total Pages | : 1575 |
Release | : 2021-07-16 |
Genre | : Computers |
ISBN | : 1668424096 |
Artificial neural networks (ANNs) present many benefits in analyzing complex data in a proficient manner. As an effective and efficient problem-solving method, ANNs are incredibly useful in many different fields. From education to medicine and banking to engineering, artificial neural networks are a growing phenomenon as more realize the plethora of uses and benefits they provide. Due to their complexity, it is vital for researchers to understand ANN capabilities in various fields. The Research Anthology on Artificial Neural Network Applications covers critical topics related to artificial neural networks and their multitude of applications in a number of diverse areas including medicine, finance, operations research, business, social media, security, and more. Covering everything from the applications and uses of artificial neural networks to deep learning and non-linear problems, this book is ideal for computer scientists, IT specialists, data scientists, technologists, business owners, engineers, government agencies, researchers, academicians, and students, as well as anyone who is interested in learning more about how artificial neural networks can be used across a wide range of fields.
Author | : Dr. Peter B. Denes |
Publisher | : Pickle Partners Publishing |
Total Pages | : 210 |
Release | : 2016-08-09 |
Genre | : Science |
ISBN | : 1787200779 |
Originally published in 1963, The Speech Chain has been regarded as the classic, easy-to-read introduction to the fundamentals and complexities of speech communication. It provides a foundation for understanding the essential aspects of linguistics, acoustics and anatomy, and explores research and development into digital processing of speech and the use of computers for the generation of artificial speech and speech recognition. This interdisciplinary account will prove invaluable to students with little or no previous exposure to the study of language.
Author | : Manfred R. Schroeder |
Publisher | : Springer Science & Business Media |
Total Pages | : 338 |
Release | : 2013-06-29 |
Genre | : Science |
ISBN | : 3662038617 |
New material treats such contemporary subjects as automatic speech recognition and speaker verification for banking by computer and privileged (medical, military, diplomatic) information and control access. The book also focuses on speech and audio compression for mobile communication and the Internet. The importance of subjective quality criteria is stressed. The book also contains introductions to human monaural and binaural hearing, and the basic concepts of signal analysis. Beyond speech processing, this revised and extended new edition of Computer Speech gives an overview of natural language technology and presents the nuts and bolts of state-of-the-art speech dialogue systems.