Download or read book Hierarchical Spectro temporal Features for Robust Speech Recognition written by Xavier Domont and published by . This book was released on 2010 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Robust Speech Recognition Based on Spectro temporal Features written by Bernd Meyer and published by . This book was released on 2004 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Robust Speech Recognition Based on Spectro temporal Processing written by Michael Kleinschmidt and published by . This book was released on 2003 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, novelle spectro-temporal feature extraction techniques are evaluated for enhancing the robustness of automatic speech recognition systems (ASR) in adverse acoustical conditions. Recent physiological and psychoacoustical findings indicate that spectro-temporal processing plays an important role in human speech perception. Therefore, sigma-pi cells and Gabor filter functions are investigated as secondary feature extraction methods based on a spectro-temporal representation. Especially the Gabor features are versatile enough to include cepstral features and purely temporal filtering as special cases, while additionally aiming at combined spectro-temporal modulations. A data driven feature selection method is applied for feature set optimization. For small vocabularies, both types of features are shown to increase the robustness of ASR systems. Sigma-pi cells also allow for estimating the speech-to-noise ratio of an input signal solely based on low spectro-temporal modulation. The Gabor based Tandem feature sets increase the performance of the Qualcomm-ICSI-OGI system for the Aurora task, when concatenating the two streams. engl.
Download or read book Advances in Nonlinear Speech Processing written by Mohamed Chetouani and published by Springer Science & Business Media. This book was released on 2008-01-11 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: This intriguing book constitutes the thoroughly refereed postproceedings of the International Conference on Non-Linear Speech Processing, NOLISP 2007, held in Paris, France, in May 2007. The 24 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on nonlinear and non-conventional techniques, speech synthesis, speaker recognition, speech recognition, and many other subjects.
Download or read book Transmission error robust speech recognition using soft features written by Valentin Ion and published by . This book was released on 2008 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Auditory Based Signal Processing for Noise Suppression and Robust Speech Recognition written by Jürgen Tchorz and published by . This book was released on 2000 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advances in Nonlinear Speech Processing written by Thomas Drugman and published by Springer. This book was released on 2013-06-12 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 6th International Conference on Nonlinear Speech Processing, NOLISP 2013, held in Mons, Belgium, in June 2013. The 27 refereed papers included in this volume were carefully reviewed and selected from 34 submissions. The paper are organized in topical sections on speech and audio analysis; speech synthesis; speech-based biomedical applications; automatic speech recognition; and speech enhancement.
Download or read book Combination of Multiple Feature Streams for Robust Speech Recognition written by Peter Jancovic and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Reconstruction of Incomplete Spectrograms for Robust Speech Recognition written by Bhiksha Raj Ramakrishnan and published by . This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Spectro temporal Framework for Compensation of Reverberation for Speech Recognition written by Kshitiz Kumar and published by . This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbook of Neuroengineering written by Nitish V. Thakor and published by Springer Nature. This book was released on 2023-02-02 with total page 3686 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Handbook serves as an authoritative reference book in the field of Neuroengineering. Neuroengineering is a very exciting field that is rapidly getting established as core subject matter for research and education. The Neuroengineering field has also produced an impressive array of industry products and clinical applications. It also serves as a reference book for graduate students, research scholars and teachers. Selected sections or a compendium of chapters may be used as “reference book” for a one or two semester graduate course in Biomedical Engineering. Some academicians will construct a “textbook” out of selected sections or chapters. The Handbook is also meant as a state-of-the-art volume for researchers. Due to its comprehensive coverage, researchers in one field covered by a certain section of the Handbook would find other sections valuable sources of cross-reference for information and fertilization of interdisciplinary ideas. Industry researchers as well as clinicians using neurotechnologies will find the Handbook a single source for foundation and state-of-the-art applications in the field of Neuroengineering. Regulatory agencies, entrepreneurs, investors and legal experts can use the Handbook as a reference for their professional work as well.
Download or read book Auditory Spectrum Based Features ASBF for Robust Speech Recognition written by Chi Ho Yim and published by . This book was released on 2001 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book On the Use of Frame and Segment based Methods for the Detection and Classification of Speech Sounds and Features written by Jun Hou and published by . This book was released on 2009 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical data-driven methods and knowledge-based methods are two recent trends in Automatic Speech Recognition (ASR). Hidden Markov Model (HMM)-based speech recognition techniques have achieved great success for controlled tasks and environments. However, when we require improved accuracy and robustness (closer to Human Speech Recognition (HSR)), HMM algorithms for speech recognition gradually fail. Hence a need has emerged to incorporate higher level linguistic information into ASR systems in order to further discriminate between speech classes or phonemes with high confusion rates. The Automatic Speech Attribute Transcription (ASAT) project is one of the recent research efforts that has tried to bridge the gap between ASR and HSR. In this thesis we focus on the design and optimization of the front end processing of the ASAT system, whose goal is to estimate a set of attribute and phoneme probability lattices which can be combined with information from higher level knowledge sources in a set of speech event verification modules in order to make a final recognition decision. We propose a set of both frame-based methods and segment-based methods to improve the recognition performance of distinctive features and phonemes in English. We also study and evaluate both a parallel speech feature organization and a hierarchical phoneme topology. There are 4 main parts in this thesis work. In the first part, we use frame-based methods to estimate the likelihood of static sounds (e.g., steady vowels, fricatives, etc), and implement the parallel feature detection using Multi-Layer Perceptrons (MLPs) in order to detect the 14 Sound Pattern of English (SPE) features. In the second part, we use segment-based methods to classify dynamic sounds (e.g., stop consonants, diphthongs, etc), and use Time-Delay Neural Networks (TDNNs) to recognize phoneme classes in a hierarchical phoneme and feature organization. In the third part and in the forth part, we combine the frame-based parallel speech feature detection system and the segment-based hierarchical phoneme classification system to improve the overall phoneme classification performance and the speech feature detection performance. The main contribution of this thesis is the creation of a phoneme recognizer that overcomes the disadvantages of pure statistical or knowledge-based systems, and provides a way to incorporate acoustic/phonetic/linguistic knowledge into an existing (HMM-based) automatic speech recognition system.
Download or read book Local Feature Extraction for Robust Speech Recognition in the Presence of Noise written by Zekeriya Tufekci and published by . This book was released on 2001 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Mathematical Methods in Interdisciplinary Sciences written by Snehashish Chakraverty and published by John Wiley & Sons. This book was released on 2020-07-15 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brings mathematics to bear on your real-world, scientific problems Mathematical Methods in Interdisciplinary Sciences provides a practical and usable framework for bringing a mathematical approach to modelling real-life scientific and technological problems. The collection of chapters Dr. Snehashish Chakraverty has provided describe in detail how to bring mathematics, statistics, and computational methods to the fore to solve even the most stubborn problems involving the intersection of multiple fields of study. Graduate students, postgraduate students, researchers, and professors will all benefit significantly from the author's clear approach to applied mathematics. The book covers a wide range of interdisciplinary topics in which mathematics can be brought to bear on challenging problems requiring creative solutions. Subjects include: Structural static and vibration problems Heat conduction and diffusion problems Fluid dynamics problems The book also covers topics as diverse as soft computing and machine intelligence. It concludes with examinations of various fields of application, like infectious diseases, autonomous car and monotone inclusion problems.
Download or read book Speech and Computer written by Alexey Karpov and published by Springer. This book was released on 2018-09-10 with total page 791 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 20th International Conference on Speech and Computer, SPECOM 2018, held in Leipzig, Germany, in September 2018. The 79 papers presented in this volume were carefully reviewed and selected from 132 submissions. The papers present current research in the area of computer speech processing, including recognition, synthesis, understanding and related domains like signal processing, language and text processing, computational paralinguistics, multi-modal speech processing or human-computer interaction.
Download or read book Perceptually Inspired Signal processing Strategies for Robust Speech Recognition in Reverberant Environments written by Brian E.D. Kingsbury and published by . This book was released on 1998 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:
