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Progressive Search Algorithms For Large Vocabulary Speech Recognition
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Book Synopsis Progressive-Search Algorithms for Large-Vocabulary Speech Recognition by :
Download or read book Progressive-Search Algorithms for Large-Vocabulary Speech Recognition written by and published by . This book was released on 1993 with total page 5 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors describe a technique they call "Progressive Search," which is useful for developing and implementing speech recognition systems with high computational requirements. The scheme iteratively uses more and more complex recognition schemes, where each iteration constrains the search space of the next. An algorithm, the "Forward-Backward Word-Life Algorithm," is described. It can generate a word lattice in a progressive search that would be used as a language model embedded in a succeeding recognition pass to reduce computation requirements. They show that speed-ups of more than an order of magnitude are achievable with only minor costs in accuracy.
Book Synopsis A Real-time, Vectorized, Large Vocabulary Speech Recognition Algorithm Using Parallel Processing by : Gordon A. Blase
Download or read book A Real-time, Vectorized, Large Vocabulary Speech Recognition Algorithm Using Parallel Processing written by Gordon A. Blase and published by . This book was released on 1988 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Phonetic Search Methods for Large Speech Databases by : Ami Moyal
Download or read book Phonetic Search Methods for Large Speech Databases written by Ami Moyal and published by Springer Science & Business Media. This book was released on 2013-02-28 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Phonetic Search Methods for Large Databases” focuses on Keyword Spotting (KWS) within large speech databases. The brief will begin by outlining the challenges associated with Keyword Spotting within large speech databases using dynamic keyword vocabularies. It will then continue by highlighting the various market segments in need of KWS solutions, as well as, the specific requirements of each market segment. The work also includes a detailed description of the complexity of the task and the different methods that are used, including the advantages and disadvantages of each method and an in-depth comparison. The main focus will be on the Phonetic Search method and its efficient implementation. This will include a literature review of the various methods used for the efficient implementation of Phonetic Search Keyword Spotting, with an emphasis on the authors’ own research which entails a comparative analysis of the Phonetic Search method which includes algorithmic details. This brief is useful for researchers and developers in academia and industry from the fields of speech processing and speech recognition, specifically Keyword Spotting.
Book Synopsis Automatic Speech and Speaker Recognition by : Chin-Hui Lee
Download or read book Automatic Speech and Speaker Recognition written by Chin-Hui Lee and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research in the field of automatic speech and speaker recognition has made a number of significant advances in the last two decades, influenced by advances in signal processing, algorithms, architectures, and hardware. These advances include: the adoption of a statistical pattern recognition paradigm; the use of the hidden Markov modeling framework to characterize both the spectral and the temporal variations in the speech signal; the use of a large set of speech utterance examples from a large population of speakers to train the hidden Markov models of some fundamental speech units; the organization of speech and language knowledge sources into a structural finite state network; and the use of dynamic, programming based heuristic search methods to find the best word sequence in the lexical network corresponding to the spoken utterance. Automatic Speech and Speaker Recognition: Advanced Topics groups together in a single volume a number of important topics on speech and speaker recognition, topics which are of fundamental importance, but not yet covered in detail in existing textbooks. Although no explicit partition is given, the book is divided into five parts: Chapters 1-2 are devoted to technology overviews; Chapters 3-12 discuss acoustic modeling of fundamental speech units and lexical modeling of words and pronunciations; Chapters 13-15 address the issues related to flexibility and robustness; Chapter 16-18 concern the theoretical and practical issues of search; Chapters 19-20 give two examples of algorithm and implementational aspects for recognition system realization. Audience: A reference book for speech researchers and graduate students interested in pursuing potential research on the topic. May also be used as a text for advanced courses on the subject.
Book Synopsis Large-vocabulary Continuous-speech Recognition Using Partitioned Graph Search by : Chuang-Chien Chiu
Download or read book Large-vocabulary Continuous-speech Recognition Using Partitioned Graph Search written by Chuang-Chien Chiu and published by . This book was released on 1993 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Extra Large Vocabulary Continuous Speech Recognition Algorithm Based on Information Retrieval by : Valery Pylypenko
Download or read book Extra Large Vocabulary Continuous Speech Recognition Algorithm Based on Information Retrieval written by Valery Pylypenko and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Extra Large Vocabulary Continuous Speech Recognition Algorithm Based on Information Retrieval.
Book Synopsis Modern Methods of Speech Processing by : Ravi P. Ramachandran
Download or read book Modern Methods of Speech Processing written by Ravi P. Ramachandran and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: The term speech processing refers to the scientific discipline concerned with the analysis and processing of speech signals for getting the best benefit in various practical scenarios. These different practical scenarios correspond to a large variety of applications of speech processing research. Examples of some applications include enhancement, coding, synthesis, recognition and speaker recognition. A very rapid growth, particularly during the past ten years, has resulted due to the efforts of many leading scientists. The ideal aim is to develop algorithms for a certain task that maximize performance, are computationally feasible and are robust to a wide class of conditions. The purpose of this book is to provide a cohesive collection of articles that describe recent advances in various branches of speech processing. The main focus is in describing specific research directions through a detailed analysis and review of both the theoretical and practical settings. The intended audience includes graduate students who are embarking on speech research as well as the experienced researcher already working in the field. For graduate students taking a course, this book serves as a supplement to the course material. As the student focuses on a particular topic, the corresponding set of articles in this book will serve as an initiation through exposure to research issues and by providing an extensive reference list to commence a literature survey. Expe rienced researchers can utilize this book as a reference guide and can expand their horizons in this rather broad area.
Book Synopsis Search Algorithms for Software-Only Real-Time Recognition with Very Large Vocabularies by :
Download or read book Search Algorithms for Software-Only Real-Time Recognition with Very Large Vocabularies written by and published by . This book was released on 1993 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper deals with search algorithms for real-time speech recognition. We argue that software-only speech recognition has several critical advantages over using special or parallel hardware. We present a history of several advances in search algorithms, which together, have made it possible to implement real-time recognition of large vocabularies on a single workstation without the need for any hardware accelerators. We discuss the Forward-Backward Search algorithm in detail, as this is the key algorithm that has made possible recognition of very large vocabularies in real-time. The result is that we can recognize continuous speech with a vocabulary of 20,000 words strictly in real-time entirely in software on a high-end workstation with large memory. We demonstrate that the computation needed grows as the cube root of the vocabulary size.
Book Synopsis Progressive Word Hypotheses Reduction for Very Large Vocabulary, Continuous Speech Recognition by :
Download or read book Progressive Word Hypotheses Reduction for Very Large Vocabulary, Continuous Speech Recognition written by and published by . This book was released on 1997 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Progressive Word Hypotheses Reduction for Very Large Vocabulary, Continuous Speech Recognition by :
Download or read book Progressive Word Hypotheses Reduction for Very Large Vocabulary, Continuous Speech Recognition written by and published by . This book was released on 1997 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Techniques to Achieve an Accurate Real-Time Large-Vocabulary Speech Recognition System by :
Download or read book Techniques to Achieve an Accurate Real-Time Large-Vocabulary Speech Recognition System written by and published by . This book was released on 1994 with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt: In addressing the problem of achieving high-accuracy real-time speech recognition systems, we focus on recognizing speech from ARPA's 20,000-word Wall Street Journal (WSJ) task, using current UNIX workstations. We have found that our standard approach-using a narrow beam width in a viterbi search for simple discrete-density hidden Markov models (HMMs)-works in real time with only very low accuracy. Our most accurate algorithms recognize speech many times slower than real time. Our (yet unattained) goal is to recognize speech in real time at or near full accuracy.
Book Synopsis Using Speech Recognition by : Judith A. Markowitz
Download or read book Using Speech Recognition written by Judith A. Markowitz and published by Prentice Hall. This book was released on 1996 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Filled with advice and hints on how to select speech-recognition products and build applications, this book offers an unbiased treatment of speech-recognition technology, vendors, and future outlook.
Book Synopsis Lattice-based Search Strategies for Large Vocabulary Speech Recognition by : Frederick Richardson
Download or read book Lattice-based Search Strategies for Large Vocabulary Speech Recognition written by Frederick Richardson and published by . This book was released on 1995 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Balancing Act by : Judith L. Klavans
Download or read book The Balancing Act written by Judith L. Klavans and published by MIT Press. This book was released on 1996 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Symbolic and statistical approaches to language have historically been at odds--the former viewed as difficult to test and therefore perhaps impossible to define, and the latter as descriptive but possibly inadequate. At the heart of the debate are fundamental questions concerning the nature of language, the role of data in building a model or theory, and the impact of the competence-performance distinction on the field of computational linguistics. Currently, there is an increasing realization in both camps that the two approaches have something to offer in achieving common goals. The eight contributions in this book explore the inevitable "balancing act" that must take place when symbolic and statistical approaches are brought together--including basic choices about what knowledge will be represented symbolically and how it will be obtained, what assumptions underlie the statistical model, what principles motivate the symbolic model, and what the researcher gains by combining approaches. The topics covered include an examination of the relationship between traditional linguistics and statistical methods, qualitative and quantitative methods of speech translation, study and implementation of combined techniques for automatic extraction of terminology, comparative analysis of the contributions of linguistic cues to a statistical word grouping system, automatic construction of a symbolic parser via statistical techniques, combining linguistic with statistical methods in automatic speech understanding, exploring the nature of transformation-based learning, and a hybrid symbolic/statistical approach to recovering from parser failures.
Book Synopsis A Real Time Large Vocabulary Connected Speech Recognition System by : Anton Manfred Stölzle
Download or read book A Real Time Large Vocabulary Connected Speech Recognition System written by Anton Manfred Stölzle and published by . This book was released on 1991 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :IEEE Region 7 Publisher :Institute of Electrical & Electronics Engineers(IEEE) ISBN 13 :9780780326422 Total Pages :504 pages Book Rating :4.3/5 (264 download)
Download or read book Southeastcon '95 written by IEEE Region 7 and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1995-03 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis High-Performance Speech Recognition Using Consistency Modeling by :
Download or read book High-Performance Speech Recognition Using Consistency Modeling written by and published by . This book was released on 1993 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of SRI's consistency modeling project is to improve the raw acoustic modeling component of SRI's DECIPHER speech recognition system and develop consistency modeling technology. Consistency modeling aims to reduce the number of improper independence assumptions used in traditional speech recognition algorithms so that the resulting speech recognition hypotheses are more self-consistent and, therefore, more accurate. At the initial stages of this effort, SRI focused on developing the appropriate base technologies for consistency modeling. We first developed the Progressive Search technology that allowed us to perform large-vocabulary continuous speech recognition (LVCSR) experiments. Since its conception and development at SRI, this technique has been adopted by most laboratories, including other ARPA contracting sites, doing research on LVSR. Another goal of the consistency modeling project is to attack difficult modeling problems, when there is a mismatch between the training and testing phases. Such mismatches may include outlier speakers, different microphones and additive noise. We were able to either develop new, or transfer and evaluate existing, technologies that adapted our baseline genonic HMM recognizer to such difficult conditions. (AN).
