Download or read book Time Domain Representation of Speech Sounds written by Asoke Kumar Datta and published by Springer. This book was released on 2018-11-03 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the history of time-domain representation and the extent of its development along with that of spectral domain representation in the cognitive and technology domains. It discusses all the cognitive experiments related to this development, along with details of technological developments related to both automatic speech recognition (ASR) and text to speech synthesis (TTS), and introduces a viable time-domain representation for both objective and subjective analysis, as an alternative to the well-known spectral representation. The book also includes a new cohort study on the use of lexical knowledge in ASR. India has numerous official dialects, and spoken-language technology development is a burgeoning area. In fact TTS and ASR taken together constitute the most important technology for empowering people. As such, the book describes time domain representation in such a way that it can be easily and seamlessly incorporated into ASR and TTS research and development. In short, it is a valuable guidebook for the development of ASR and TTS in all the Indian Standard Dialects using signal domain parameters.
Download or read book Explorations in Time Frequency Analysis written by Patrick Flandrin and published by Cambridge University Press. This book was released on 2018-09-06 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand the methods of modern non-stationary signal processing with authoritative insights from a leader in the field.
Download or read book A Time Domain Study of Speech Sounds written by John Crable Wauer and published by . This book was released on 1963 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Parametric Time Frequency Domain Spatial Audio written by Ville Pulkki and published by John Wiley & Sons. This book was released on 2017-10-04 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide that addresses the theory and practice of spatial audio This book provides readers with the principles and best practices in spatial audio signal processing. It describes how sound fields and their perceptual attributes are captured and analyzed within the time-frequency domain, how essential representation parameters are coded, and how such signals are efficiently reproduced for practical applications. The book is split into four parts starting with an overview of the fundamentals. It then goes on to explain the reproduction of spatial sound before offering an examination of signal-dependent spatial filtering. The book finishes with coverage of both current and future applications and the direction that spatial audio research is heading in. Parametric Time-frequency Domain Spatial Audio focuses on applications in entertainment audio, including music, home cinema, and gaming—covering the capturing and reproduction of spatial sound as well as its generation, transduction, representation, transmission, and perception. This book will teach readers the tools needed for such processing, and provides an overview to existing research. It also shows recent up-to-date projects and commercial applications built on top of the systems. Provides an in-depth presentation of the principles, past developments, state-of-the-art methods, and future research directions of spatial audio technologies Includes contributions from leading researchers in the field Offers MATLAB codes with selected chapters An advanced book aimed at readers who are capable of digesting mathematical expressions about digital signal processing and sound field analysis, Parametric Time-frequency Domain Spatial Audio is best suited for researchers in academia and in the audio industry.
Download or read book A New Time Domain Analysis of Human Speech and Other Complex Waveforms written by Janet MacIver Baker and published by . This book was released on 1975 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this research is to explore the usefulness of a new time-domain analysis of complex waveforms, especially with respect to human speech. Essentially three separate investigations are presented, with the last two predicated on the results of the first: (1) Cycle-based time-domain parameters were extracted from the speech waveforms of many hundreds of utterances, and were then subjected to extensive scrutiny, both by hand and by machine. (2) Based solely on time-domain phenomena found in the previous study, the authors wrote an automatic segmentation program for continuous speech. (3) They examined the time-domain acoustic characteristics of 228 allophones of fricatives and stop consonants, for each of three speakers (2 males, 1 female). Finally, they present a personal view of the synergism inherent in the utilization of these time-domain techniques with the traditional frequency-domain techniques. In addition, suggestions are presented for applying these generalizable time-domain techniques to other complex waveforms, especially amenable to such analysis. Specific examples are drawn from music (e.g. violin) and animal (e.g. bou-bou shrike) vocalizations.
Download or read book Discrete Time Speech Signal Processing written by Thomas F. Quatieri and published by Pearson Education. This book was released on 2008-11-10 with total page 1226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Essential principles, practical examples, current applications, and leading-edge research. In this book, Thomas F. Quatieri presents the field's most intensive, up-to-date tutorial and reference on discrete-time speech signal processing. Building on his MIT graduate course, he introduces key principles, essential applications, and state-of-the-art research, and he identifies limitations that point the way to new research opportunities. Quatieri provides an excellent balance of theory and application, beginning with a complete framework for understanding discrete-time speech signal processing. Along the way, he presents important advances never before covered in a speech signal processing text book, including sinusoidal speech processing, advanced time-frequency analysis, and nonlinear aeroacoustic speech production modeling. Coverage includes: Speech production and speech perception: a dual view Crucial distinctions between stochastic and deterministic problems Pole-zero speech models Homomorphic signal processing Short-time Fourier transform analysis/synthesis Filter-bank and wavelet analysis/synthesis Nonlinear measurement and modeling techniques The book's in-depth applications coverage includes speech coding, enhancement, and modification; speaker recognition; noise reduction; signal restoration; dynamic range compression, and more. Principles of Discrete-Time Speech Processing also contains an exceptionally complete series of examples and Matlab exercises, all carefully integrated into the book's coverage of theory and applications.
Download or read book Introduction to Digital Speech Processing written by Lawrence R. Rabiner and published by Now Publishers Inc. This book was released on 2007 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides the reader with a practical introduction to the wide range of important concepts that comprise the field of digital speech processing. Students of speech research and researchers working in the field can use this as a reference guide.
Download or read book Speech Time Frequency Representations written by Michael D. Riley and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: 1.1. Steps in the initial auditory processing. 4 2 THE TIME-FREQUENCY ENERGY REPRESENTATION 2.1. Short-time spectrum of a steady-state Iii. 9 2.2. Smoothed short-time spectra. 9 2.3. Short-time spectra of linear chirps. 13 2.4. Short-time spectra of /w /'s. 15 2.5. Wide band spectrograms of /w /'s. 16 Spectrograms of rapid formant motion. 2.6. 17 2.7. Wigner distribution and spectrogram. 21 2.8. Wigner distribution and spectrogram of cos wot. 23 2.9. Concentration ellipses for transform kernels. 28 2.10. Concentration ellipses for complementary kernels. 42 42 2.11. Directional transforms for a linear chirp. 47 2.12. Spectrograms of /wioi/ with different window sizes. 2.13. Wigner distribution of /wioi/. 49 2.14. Time-frequency autocorrelation function of /wioi/. 49 2.15. Gaussian transform of Iwioi/. 50 2.16. Directional transforms of lwioi/. 52 3 TIME-FREQUENCY FILTERING 3.1. Recovering the transfer function by filtering. 57 3.2. Estimating 'aliased' transfer function. 61 3.3. T-F autocorrelation function of an impulse train. 70 3.4. T-F autocorrelation function of LTI filter output. 70 Windowing recovers transfer function. 3.5. 72 3.6. Shearing the time-frequency autocorrelation function. 75 3.7. T-F autocorrelation function for FM filter. 76 3.8. T-F autocorrelation function of FM filter output. 77 3.9. Windowing recovers transfer function. 79 4 THE SCHEMATIC SPECTROGRAM Problems with pole-fitting approach.
Download or read book Dynamics of Speech Production and Perception written by P.L. Divenyi and published by IOS Press. This book was released on 2006-09-20 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea that speech is a dynamic process is a tautology: whether from the standpoint of the talker, the listener, or the engineer, speech is an action, a sound, or a signal continuously changing in time. Yet, because phonetics and speech science are offspring of classical phonology, speech has been viewed as a sequence of discrete events-positions of the articulatory apparatus, waveform segments, and phonemes. Although this perspective has been mockingly referred to as "beads on a string", from the time of Henry Sweet's 19th century treatise almost up to our days specialists of speech science and speech technology have continued to conceptualize the speech signal as a sequence of static states interleaved with transitional elements reflecting the quasi-continuous nature of vocal production. This book, a collection of papers of which each looks at speech as a dynamic process and highlights one of its particularities, is dedicated to the memory of Ludmilla Andreevna Chistovich. At the outset, it was planned to be a Chistovich festschrift but, sadly, she passed away a few months before the book went to press. The 24 chapters of this volume testify to the enormous influence that she and her colleagues have had over the four decades since the publication of their 1965 monograph.
Download or read book Digital Processing of Speech Signals written by Lawrence R. Rabiner and published by Prentice Hall. This book was released on 1978 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: The material in this book is intended as a one-semester course in speech processing. The purpose of this text is to show how digital signal processing techniques can be applied to problems related to speech communication. The book gives an extensive description of the physical basis for speech coding including fourier analysis, digital representation and digital and time domain models of the wave form. It goes on to discuss homomorphic speech processing, linear predictive coding and digital processing for machine communication by voice.
Download or read book Speech Perception written by Lori L. Holt and published by Springer Nature. This book was released on 2022-02-22 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume reviews contemporary developments in the auditory cognitive neuroscience of speech perception, including both behavioral and neural contributions. It serves as an important update on the current state of research in speech perception. The Auditory Cognitive Neuroscience of Speech Perception in Context Lori L. Holt, and Jonathan E. Peelle Subcortical Processing of Speech Sounds Bharath Chandrasekaran, Rachel Tessmer, and G. Nike Gnanateja Cortical Representation of Speech Sounds: Insights from Intracranial Electrophysiology Yulia Oganian, Neal P. Fox, and Edward F. Chang A Parsimonious Look at Neural Oscillations in Speech Perception Sarah Tune, and Jonas Obleser Extracting Language Content From Speech Sounds: The Information Theoretic Approach Laura Gwilliams, and Matthew H. Davis Speech Perception under Adverse Listening Conditions Stephen C. Van Hedger, and Ingrid S. Johnsrude Adaptive Plasticity in Perceiving Speech Sounds Shruti Ullas, Milene Bonte, Elia Formisano, and Jean Vroomen Development of Speech Perception Judit Gervain Interactions Between Audition and Cognition in Hearing Loss and Aging Chad S. Rogers, and Jonathan E. Peelle Dr. Lori Holt is a Professor of Psychology at Carnegie Mellon University and has affiliations with the Center for the Neural Basis of Cognition and the Center for Neuroscience University of Pittsburgh. Dr. Jonathan E. Peelle is a Professor in the Department of Otolaryngology at the Washington University in St. Louis. Dr. Allison Coffin is an Associate Professor in the Department of Integrative Physiology and Neuroscience at Washington State University Vancouver. Dr. Arthur N. Popper is Professor Emeritus and research professor in the Department of Biology at the University of Maryland, College Park. Dr. Richard R. Fay is Distinguished Research Professor of Psychology at Loyola, Chicago.
Download or read book Phase based Speech Processing written by Parham Aarabi and published by World Scientific. This book was released on 2006 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book that takes a detailed look at the importance of phase in the design of speech processing systems. Phase, in comparison with amplitude, is often ignored for speech recognition applications. Thus, this book highlights some of the important ways in which the phase of speech signals can be utilized for sound localization, enhancement, and recognition.This book also discusses the state-of-the-art research in phase-based speech processing, starting from the basics of signal processing and recording, to single microphone speech recognition, the recognition of speech and the processing of speech by humans, as well as the importance of phase in human speech recognition and multi-microphone phase-based speech processing.
Download or read book Probabilistic Models of Time domain Speech Signals written by Kannan Achan and published by . This book was released on 2007 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributions of this thesis offer a rich algorithmic framework for modeling speech signals in both time- and time-frequency domains. In the process, we also show that probabilistic generative models offer a natural way to represent, reason and learn about the underlying acoustic observations. This thesis addresses the problem of modeling speech directly in the time domain and reconstructing time-domain speech signals from phaseless feature domain representations. Processing of speech in the time domain is generally not favored because accounting for variability in phase is not straight-forward. Instead, it is common to process speech in a feature domain where the phase components have been removed. However, many applications of speech processing require that the output be in the time-domain. In this case, speech signals can be processed in a phase-free feature domain and then transformed to the time-domain by reconstructing the phase, or they can be processed directly in the time-domain. In this thesis, we study how to reconstruct time-domain speech signals from phase-free feature representations and how to model and analyze speech signals directly in the time-domain. In the second part of this thesis, we present a purely time-domain approach to speech processing which identifies waveform samples at the boundaries between glottal pulse periods (in voiced speech) or at the boundaries of unvoiced segments. An efficient algorithm for inferring these boundaries and estimating the average spectra of voiced and unvoiced regions is derived from a simple probabilistic generative model. Competitive results are presented on pitch tracking, voiced/unvoiced detection and timescale modification; all these tasks and several others can be performed using the single segmentation provided by inference in the model. In the first part of this thesis, we address the problem of inverting a feature domain representation of speech to recover an estimate of the underlying time-domain speech waveform. In particular, we consider inverting spectrograms (short-time magnitude spectra), since they are among the most popular feature-domain representations of speech. A significant problem with techniques that manipulate spectrograms is that the output spectrogram does not include a phase component, which is needed to create a time-domain signal that has good perceptual quality. We describe a probabilistic generative model of time-domain speech signals and their spectrograms, and show how an efficient optimizer can be used to find the maximum a posteriori speech signal, given the spectrogram. In contrast, to techniques that alternate between estimating the phase and a spectrally-consistent signal, our technique directly infers the speech signal, thus jointly optimizing the phase and the spectrally-consistent signal. We compare our technique with a standard method in terms of improvements in signal-to-noise ratios and also provide audio files for the purpose of demonstrating to the reader the improvement in perceptual quality that our technique offers.
Download or read book Soft Computing in Acoustics written by Bozena Kostek and published by Physica. This book was released on 2013-06-29 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of some selected soft computing methods to acoustics and sound engineering are presented in this book. The aim of this research study is the implementation of soft computing methods to musical signal analysis and to the recognition of musical sounds and phrases. Accordingly, some methods based on such learning algorithms as neural networks, rough sets and fuzzy-logic were conceived, implemented and tested. Additionally, the above-mentioned methods were applied to the analysis and verification of subjective testing results. The last problem discussed within the framework of this book was the problem of fuzzy control of the classical pipe organ instrument. The obtained results show that computational intelligence and soft computing may be used for solving some vital problems in both musical and architectural acoustics.
Download or read book Speech Sound and Music Processing Embracing Research in India written by Sølvi Ystad and published by Springer. This book was released on 2012-07-02 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 8th International Symposium on Computer Music Modeling and Retrieval, CMMR 2011 and the 20th International Symposium on Frontiers of Research in Speech and Music, FRSM 2011. This year the 2 conferences merged for the first time and were held in Bhubanes, India, in March 2011. The 17 revised full papers presented were specially reviewed and revised for inclusion in this proceedings volume. The book is divided in four main chapters which reflect the high quality of the sessions of CMMR 2011, the collaboration with FRSM 2011 and the Indian influence, in the topics of Indian Music, Music Information Retrieval, Sound analysis synthesis and perception and Speech processing of Indian languages.
Download or read book Speech Processing in Embedded Systems written by Priyabrata Sinha and published by Springer Science & Business Media. This book was released on 2009-12-01 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Speech Processing has rapidly emerged as one of the most widespread and well-understood application areas in the broader discipline of Digital Signal Processing. Besides the telecommunications applications that have hitherto been the largest users of speech processing algorithms, several non-traditional embedded processor applications are enhancing their functionality and user interfaces by utilizing various aspects of speech processing. "Speech Processing in Embedded Systems" describes several areas of speech processing, and the various algorithms and industry standards that address each of these areas. The topics covered include different types of Speech Compression, Echo Cancellation, Noise Suppression, Speech Recognition and Speech Synthesis. In addition this book explores various issues and considerations related to efficient implementation of these algorithms on real-time embedded systems, including the role played by processor CPU and peripheral functionality.
Download or read book Forensic Speaker Identification written by Phil Rose and published by CRC Press. This book was released on 2002-07-01 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: A voice is much more than just a string of words. Voices, unlike fingerprints, are inherently complex. They signal a great deal of information in addition to the intended message: the speakers' sex, for example, or their emotional state, or age. Although evidence from DNA analysis grabs the headlines, DNA can't talk. It can't be recorded planning,
