Lam Yuet Ming. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (leaves 80-86). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Motivation --- p.1 / Chapter 1.1.1 --- Difficulties of fixed-point design --- p.1 / Chapter 1.1.2 --- Why still fixed-point? --- p.2 / Chapter 1.1.3 --- Difficulties of converting floating-point to fixed-point --- p.2 / Chapter 1.1.4 --- Why wordlength optimization? --- p.3 / Chapter 1.2 --- Objectives --- p.3 / Chapter 1.3 --- Contributions --- p.3 / Chapter 1.4 --- Thesis Organization --- p.4 / Chapter 2 --- Review --- p.5 / Chapter 2.1 --- Introduction --- p.5 / Chapter 2.2 --- Simulation approach to address quantization issue --- p.6 / Chapter 2.3 --- Analytical approach to address quantization issue --- p.8 / Chapter 2.4 --- Implementation of speech systems --- p.9 / Chapter 2.5 --- Discussion --- p.10 / Chapter 2.6 --- Summary --- p.11 / Chapter 3 --- Fixed-point arithmetic background --- p.12 / Chapter 3.1 --- Introduction --- p.12 / Chapter 3.2 --- Fixed-point representation --- p.12 / Chapter 3.3 --- Fixed-point addition/subtraction --- p.14 / Chapter 3.4 --- Fixed-point multiplication --- p.16 / Chapter 3.5 --- Fixed-point division --- p.18 / Chapter 3.6 --- Summary --- p.20 / Chapter 4 --- Fixed-point class implementation --- p.21 / Chapter 4.1 --- Introduction --- p.21 / Chapter 4.2 --- Fixed-point simulation using overloading --- p.21 / Chapter 4.3 --- Fixed-point class implementation --- p.24 / Chapter 4.3.1 --- Fixed-point object declaration --- p.24 / Chapter 4.3.2 --- Overload the operators --- p.25 / Chapter 4.3.3 --- Arithmetic operations --- p.26 / Chapter 4.3.4 --- Automatic monitoring of dynamic range --- p.27 / Chapter 4.3.5 --- Automatic calculation of quantization error --- p.27 / Chapter 4.3.6 --- Array supporting --- p.28 / Chapter 4.3.7 --- Cosine calculation --- p.28 / Chapter 4.4 --- Summary --- p.29 / Chapter 5 --- Speech recognition background --- p.30 / Chapter 5.1 --- Introduction --- p.30 / Chapter 5.2 --- Isolated word recognition system overview --- p.30 / Chapter 5.3 --- Linear predictive coding processor --- p.32 / Chapter 5.3.1 --- The LPC model --- p.32 / Chapter 5.3.2 --- The LPC processor --- p.33 / Chapter 5.4 --- Vector quantization --- p.36 / Chapter 5.5 --- Hidden Markov model --- p.38 / Chapter 5.6 --- Summary --- p.40 / Chapter 6 --- Optimization --- p.41 / Chapter 6.1 --- Introduction --- p.41 / Chapter 6.2 --- Simplex Method --- p.41 / Chapter 6.2.1 --- Initialization --- p.42 / Chapter 6.2.2 --- Reflection --- p.42 / Chapter 6.2.3 --- Expansion --- p.44 / Chapter 6.2.4 --- Contraction --- p.44 / Chapter 6.2.5 --- Stop --- p.45 / Chapter 6.3 --- One-dimensional optimization approach --- p.45 / Chapter 6.3.1 --- One-dimensional optimization approach --- p.46 / Chapter 6.3.2 --- Search space reduction --- p.47 / Chapter 6.3.3 --- Speeding up convergence --- p.48 / Chapter 6.4 --- Summary --- p.50 / Chapter 7 --- Word Recognition System Design Methodology --- p.51 / Chapter 7.1 --- Introduction --- p.51 / Chapter 7.2 --- Framework design --- p.51 / Chapter 7.2.1 --- Fixed-point class --- p.52 / Chapter 7.2.2 --- Fixed-point application --- p.53 / Chapter 7.2.3 --- Optimizer --- p.53 / Chapter 7.3 --- Speech system implementation --- p.54 / Chapter 7.3.1 --- Model training --- p.54 / Chapter 7.3.2 --- Simulate the isolated word recognition system --- p.56 / Chapter 7.3.3 --- Hardware cost model --- p.57 / Chapter 7.3.4 --- Cost function --- p.58 / Chapter 7.3.5 --- Fraction size optimization --- p.59 / Chapter 7.3.6 --- One-dimensional optimization --- p.61 / Chapter 7.4 --- Summary --- p.63 / Chapter 8 --- Results --- p.64 / Chapter 8.1 --- Model training --- p.64 / Chapter 8.2 --- Simplex method optimization --- p.65 / Chapter 8.2.1 --- Simulation platform --- p.65 / Chapter 8.2.2 --- System level optimization --- p.66 / Chapter 8.2.3 --- LPC processor optimization --- p.67 / Chapter 8.2.4 --- One-dimensional optimization --- p.68 / Chapter 8.3 --- Speeding up the optimization convergence --- p.71 / Chapter 8.4 --- Optimization criteria --- p.73 / Chapter 8.5 --- Summary --- p.75 / Chapter 9 --- Conclusion --- p.76 / Chapter 9.1 --- Search space reduction --- p.76 / Chapter 9.2 --- Speeding up the searching --- p.77 / Chapter 9.3 --- Optimization criteria --- p.77 / Chapter 9.4 --- Flexibility of the framework design --- p.78 / Chapter 9.5 --- Further development --- p.78 / Bibliography --- p.80
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_324305 |
| Date | January 2003 |
| Contributors | Lam, Yuet Ming., Chinese University of Hong Kong Graduate School. Division of Computer Science and Engineering. |
| Source Sets | The Chinese University of Hong Kong |
| Language | English, Chinese |
| Detected Language | English |
| Type | Text, bibliography |
| Format | print, x, 86 leaves : ill. ; 30 cm. |
| Rights | Use 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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