语音语言处理导论

导读Acknowledgements and copyright notices1 Introduction 1.1 About this book 1.2 Purpose of this book 1.3 Some reasons to use this book 1.4 What's in the book (and what's not) 1.5 Computational set-up needed for this book 1.6 Computational skills that are necessary in order to use the book 1.7 Free software suggestions 1.8 Book structure2 Sounds and numbers 2.1 Preparatory assignments 2.2 Solutions 2.3 Sampling

导读Acknowledgements and copyright notices1 Introduction 1.1 About this book 1.2 Purpose of this book 1.3 Some reasons to use this book 1.4 What's in the book (and what's not) 1.5 Computational set-up needed for this book 1.6 Computational skills that are necessary in order to use the book 1.7 Free software suggestions 1.8 Book structure2 Sounds and numbers 2.1 Preparatory assignments 2.2 Solutions 2.3 Sampling 2.4 Quantization 2.5 The sampling theorem 2.6 Generating a signal 2.7 Numeric data types 2.8 The program 2.9 Structure of a loop 2.10 Structure of an array 2.11 Calculating the cosine values 2.12 Structure of the program 2.13 Writing the signal to a file Chapter summary Further Exercises Further reading3 Digital filters and resonators 3.1 Operations on sequences of numbers 3.2 A program for calculating RMS amplitude 3.3 Filtering 3.4 A program for calculating running means of 4 3.5 Smoothing over a longer time-window 3.6 Avoiding the need for long window 3.7 IIR filters in C 3.8 Structure of the Klatt formant synthesizer Chapter summary Exercises Further reading4 Frequency analysis and linear predictive coding 4.1 Spectral analysis 4.2 Spectral analysis in C 4.3 Cepstral analysis 4.4 Computation of the cepstrum in C 4.5 Pitch tracking using cepstral analysis 4.6 Voicing detection 4.7 f0estimation by the autocorrelation method 4.8 Linear predictive coding 4.9 C programs for LPC analysis and resynthesis 4.10 Trying it out 4.11 Applications of LPC Chapter Summary Further exercises Further reading5 Finite-state machines 5. 1 Some simple examples 5.2 A more serious example 5.3 Deterministic and non-deterministic automata 5.4 Implementation in Prolog 5.5 Prolog's processing strategy and the treatment of variables 5.6 Generating strings 5.7 Three possibly useful applications o{ that idea 5.8 Another approach to describing finite-state machines 5.9 Self-loops 5.10 Finite-state transducers(FSTs) 5.11 Using finite-state transducers to relate speech to phonemes 5.12 Finite-state phonology 5.13 Finite-state syntactic processing Chapter summary Further exercises Further reading6 Introduction to speech recognition techniques 6.1 Architectures for speech recognition 6.2 The pattern-recognition approach 6.3 Dynamic time warping 6.4 Applications 6.5 Sources of variability in speech Chapter summary Further reading7 Probabilistic finite-state models 7.1 Introduction 7.2 Indeterminacy: n-gram models for part-of-speech tagging 7.3 Some probability theory for language modelling 7.4 Markov models 7.5 Trigram models 7.6 Incompleteness of the training corpus 7.7 Part-of-speech model calculations 7.8 Using HMMs for speech recognition 7.9 Chomsky's objections to Markov models and some rejoinders Chapter summary Further reading8 Parsing 8.1 Introduction 8.9 A demo 8.3 Intuitive parsing 8.4 Recursive descent parsing 8.5 The simplest parsing program 8.6 Difference lists 8.7 Generating a parse tree 8.8 Syllabification 8.9 Other parsing algorithms 8.10 Chart parsing 8.11 Depth-first vs. breadth-first search 8.19 Deterministic parsing, Marcus parsing and minimal commitment parsing 8.13 Parallel parsing Chapter summary Further reading9 Using probabilistie grammars 9.1 Motivations 9.2 Probabilistic context-free grammars 9.3 Estimation of rule probabilities 9.4 A practical example 9.5 A limitation of probabilistic context-free grammars 9.6 Tree adjoining grammars 9.7 Data-oriented parsing Chapter Summary Conclusion and suggestions for further readingAppendix:The American Standard Code forInformation Interchange (ASCII)GlossaryReferencesIndex

这是一本写作较为成功的关于语音语言处理技术的入门级教材，本书可以说打破了两个界限，因而非常值得推荐。首先本书打破了语音和语言处理的界限，在一本教科书中综合讲授了这两个领域的基本概念和方法；二是本书也打破了文理学科的界限，巧妙的选材和灵活的讲授方式，让语言学专业的学生也能免受背景知识的制约，轻易得窥语音语言处理技术的精髓。