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Speech recognition on DSP: algorithm optimization and performance analysis.

Yuan Meng. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2004. / Includes bibliographical references (leaves 85-91). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- History of ASR development --- p.2 / Chapter 1.2 --- Fundamentals of automatic speech recognition --- p.3 / Chapter 1.2.1 --- Classification of ASR systems --- p.3 / Chapter 1.2.2 --- Automatic speech recognition process --- p.4 / Chapter 1.3 --- Performance measurements of ASR --- p.7 / Chapter 1.3.1 --- Recognition accuracy --- p.7 / Chapter 1.3.2 --- Complexity --- p.7 / Chapter 1.3.3 --- Robustness --- p.8 / Chapter 1.4 --- Motivation and goal of this work --- p.8 / Chapter 1.5 --- Thesis outline --- p.10 / Chapter 2 --- Signal processing techniques for front-end --- p.12 / Chapter 2.1 --- Basic feature extraction principles --- p.13 / Chapter 2.1.1 --- Pre-emphasis --- p.13 / Chapter 2.1.2 --- Frame blocking and windowing --- p.13 / Chapter 2.1.3 --- Discrete Fourier Transform (DFT) computation --- p.15 / Chapter 2.1.4 --- Spectral magnitudes --- p.15 / Chapter 2.1.5 --- Mel-frequency filterbank --- p.16 / Chapter 2.1.6 --- Logarithm of filter energies --- p.18 / Chapter 2.1.7 --- Discrete Cosine Transformation (DCT) --- p.18 / Chapter 2.1.8 --- Cepstral Weighting --- p.19 / Chapter 2.1.9 --- Dynamic featuring --- p.19 / Chapter 2.2 --- Practical issues --- p.20 / Chapter 2.2.1 --- Review of practical problems and solutions in ASR appli- cations --- p.20 / Chapter 2.2.2 --- Model of environment --- p.23 / Chapter 2.2.3 --- End-point detection (EPD) --- p.23 / Chapter 2.2.4 --- Spectral subtraction (SS) --- p.25 / Chapter 3 --- HMM-based Acoustic Modeling --- p.26 / Chapter 3.1 --- HMMs for ASR --- p.26 / Chapter 3.2 --- Output probabilities --- p.27 / Chapter 3.3 --- Viterbi search engine --- p.29 / Chapter 3.4 --- Isolated word recognition (IWR) & Connected word recognition (CWR) --- p.30 / Chapter 3.4.1 --- Isolated word recognition --- p.30 / Chapter 3.4.2 --- Connected word recognition (CWR) --- p.31 / Chapter 4 --- DSP for embedded applications --- p.32 / Chapter 4.1 --- "Classification of embedded systems (DSP, ASIC, FPGA, etc.)" --- p.32 / Chapter 4.2 --- Description of hardware platform --- p.34 / Chapter 4.3 --- I/O operation for real-time processing --- p.36 / Chapter 4.4 --- Fixed point algorithm on DSP --- p.40 / Chapter 5 --- ASR algorithm optimization --- p.42 / Chapter 5.1 --- Methodology --- p.42 / Chapter 5.2 --- Floating-point to fixed-point conversion --- p.43 / Chapter 5.3 --- Computational complexity consideration --- p.45 / Chapter 5.3.1 --- Feature extraction techniques --- p.45 / Chapter 5.3.2 --- Viterbi search module --- p.50 / Chapter 5.4 --- Memory requirements consideration --- p.51 / Chapter 6 --- Experimental results and performance analysis --- p.53 / Chapter 6.1 --- Cantonese isolated word recognition (IWR) --- p.54 / Chapter 6.1.1 --- Execution time --- p.54 / Chapter 6.1.2 --- Memory requirements --- p.57 / Chapter 6.1.3 --- Recognition performance --- p.57 / Chapter 6.2 --- Connected word recognition (CWR) --- p.61 / Chapter 6.2.1 --- Execution time consideration --- p.62 / Chapter 6.2.2 --- Recognition performance --- p.62 / Chapter 6.3 --- Summary & discussion --- p.66 / Chapter 7 --- Implementation of practical techniques --- p.67 / Chapter 7.1 --- End-point detection (EPD) --- p.67 / Chapter 7.2 --- Spectral subtraction (SS) --- p.71 / Chapter 7.3 --- Experimental results --- p.72 / Chapter 7.3.1 --- Isolated word recognition (IWR) --- p.72 / Chapter 7.3.2 --- Connected word recognition (CWR) --- p.75 / Chapter 7.4 --- Results --- p.77 / Chapter 8 --- Conclusions and future work --- p.78 / Chapter 8.1 --- Summary and Conclusions --- p.78 / Chapter 8.2 --- Suggestions for future research --- p.80 / Appendices --- p.82 / Chapter A --- "Interpolation of data entries without floating point, divides or conditional branches" --- p.82 / Chapter B --- Vocabulary for Cantonese isolated word recognition task --- p.84 / Bibliography --- p.85

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_324923
Date January 2004
ContributorsYuan, Meng., Chinese University of Hong Kong Graduate School. Division of Electronic Engineering.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, xi, 91 leaves : ill. ; 30 cm.
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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