Connectionist Speech Recognition

The Springer International Series in Engineering and Computer Science

Book 247
Springer Science & Business Media
2
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Connectionist Speech Recognition: A Hybrid Approach describes the theory and implementation of a method to incorporate neural network approaches into state of the art continuous speech recognition systems based on hidden Markov models (HMMs) to improve their performance. In this framework, neural networks (and in particular, multilayer perceptrons or MLPs) have been restricted to well-defined subtasks of the whole system, i.e. HMM emission probability estimation and feature extraction.
The book describes a successful five-year international collaboration between the authors. The lessons learned form a case study that demonstrates how hybrid systems can be developed to combine neural networks with more traditional statistical approaches. The book illustrates both the advantages and limitations of neural networks in the framework of a statistical systems.
Using standard databases and comparison with some conventional approaches, it is shown that MLP probability estimation can improve recognition performance. Other approaches are discussed, though there is no such unequivocal experimental result for these methods.
Connectionist Speech Recognition is of use to anyone intending to use neural networks for speech recognition or within the framework provided by an existing successful statistical approach. This includes research and development groups working in the field of speech recognition, both with standard and neural network approaches, as well as other pattern recognition and/or neural network researchers. The book is also suitable as a text for advanced courses on neural networks or speech processing.
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Additional Information

Publisher
Springer Science & Business Media
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Published on
Dec 6, 2012
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Pages
313
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ISBN
9781461532101
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Best For
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Language
English
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Genres
Science / Physics / General
Science / Physics / Mathematical & Computational
Technology & Engineering / Electrical
Technology & Engineering / Electronics / Circuits / General
Technology & Engineering / Electronics / General
Technology & Engineering / Imaging Systems
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This content is DRM protected.
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The quest for higher performance digital systems for applications such as gen eral purpose computing, signal/image processing, and telecommunications and an increasing cost consciousness have led to a major thrust for high speed VLSI systems implemented in inexpensive and widely available technologies such as CMOS. This monograph, based on the first author's doctoral dissertation, con centrates on the technique of wave pipelining as one method toward achieving this goal. The primary focus of this monograph is to provide a coherent pre sentation of the theory of wave pipelined operation of digital circuits and to discuss practical design techniques for the realization of wave pipelined circuits in the CMOS technology. Wave pipelining can be applied to a variety of cir cuits for increased performance. For example, many architectures that support systolic computation lend themselves to wave pipelined realization. Also, the wave pipeline design methodology emphasizes the role of controlled clock skew in extracting enhanced performance from circuits that are not deeply pipelined. Wave pipelining (also known as maximal rate pipelining) is a timing method ology used in digital systems to increase the number of effective pipeline stages without increasing the number of physical registers in the pipeline. Using this technique, new data is applied to the inputs of a combinational logic block be fore the outputs due to previous inputs are available thus effectively pipelining the combinational logic and maximizing the utilization of the logic.
When Speech and Audio Signal Processing published in 1999, it stood out from its competition in its breadth of coverage and its accessible, intutiont-based style.  This book was aimed at individual students and engineers excited about the broad span of audio processing and curious to understand the available techniques.  Since then, with the advent of the iPod in 2001, the field of digital audio and music has exploded, leading to a much greater interest in the technical aspects of audio processing. 

This Second Edition will update and revise the original book to augment it with new material describing both the enabling technologies of digital music distribution (most significantly the MP3) and a range of exciting new research areas in automatic music content processing (such as automatic transcription, music similarity, etc.) that have emerged in the past five years, driven by the digital music revolution. 

New chapter topics include:

Psychoacoustic Audio Coding, describing MP3 and related audio coding schemes based on psychoacoustic masking of quantization noise Music Transcription, including automatically deriving notes, beats, and chords from music signals. Music Information Retrieval, primarily focusing on audio-based genre classification, artist/style identification, and similarity estimation. Audio Source Separation, including multi-microphone beamforming, blind source separation, and the perception-inspired techniques usually referred to as Computational Auditory Scene Analysis (CASA).
Conceptual Design of Multichip Modules and Systems treats activities which take place at the conceptual and specification level of the design of complex multichip systems. These activities include the formalization of design knowledge (information modeling), tradeoff analysis, partitioning, and decision process capture. All of these functions occur prior to the traditional CAD activities of synthesis and physical design.
Inherent in the design of electronic modules are tradeoffs which must be understood before feasible technology, material, process, and partitioning choices can be selected. The lack of a complete set of technology information is an especially serious problem in the packaging and interconnect field since the number of technologies, process, and materials is substantial and selecting optimums is arduous and non-trivial if one truly wants a balance in cost and performance. Numerous tradeoff and design decisions have to be made intelligently and quickly at the beginning of the design cycle before physical design work begins. These critical decisions, made within the first 10% of the total design cycle, ultimately define up to 80% of the final product cost.
Conceptual Design of Multichip Modules and Systems lays the groundwork for concurrent estimation level analysis including size, routing, electrical performance, thermal performance, cost, reliability, manufacturability, and testing. It will be useful both as a reference for system designers and as a text for those wishing to gain a perspective on the nature of packaging and interconnect design, concurrent engineering, computer-aided design, and system synthesis.
When Speech and Audio Signal Processing published in 1999, it stood out from its competition in its breadth of coverage and its accessible, intutiont-based style.  This book was aimed at individual students and engineers excited about the broad span of audio processing and curious to understand the available techniques.  Since then, with the advent of the iPod in 2001, the field of digital audio and music has exploded, leading to a much greater interest in the technical aspects of audio processing. 

This Second Edition will update and revise the original book to augment it with new material describing both the enabling technologies of digital music distribution (most significantly the MP3) and a range of exciting new research areas in automatic music content processing (such as automatic transcription, music similarity, etc.) that have emerged in the past five years, driven by the digital music revolution. 

New chapter topics include:

Psychoacoustic Audio Coding, describing MP3 and related audio coding schemes based on psychoacoustic masking of quantization noise Music Transcription, including automatically deriving notes, beats, and chords from music signals. Music Information Retrieval, primarily focusing on audio-based genre classification, artist/style identification, and similarity estimation. Audio Source Separation, including multi-microphone beamforming, blind source separation, and the perception-inspired techniques usually referred to as Computational Auditory Scene Analysis (CASA).
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