| Description |
1 online resource (vii, 152 pages) : illustrations (some color) |
| Series |
SpringerBriefs in Electrical and Computer Engineering, 2191-8112 |
|
SpringerBriefs in electrical and computer engineering.
|
| Contents |
Chapter 1: Introduction; 1.1 Lower Limit of Bit-Rate; 1.1.1 Using Text Accompanying Speech; 1.2 Vocoder Framework; 1.3 Clustered Codebook to Continuous Codebook; 1.3.1 Clustered Segment Codebook; 1.3.2 Vector Quantization Performance Trends and Limits; 1.3.3 Random Segment Codebooks; 1.3.4 Vector to Segment Quantization Performance Retention; 1.3.5 A Converging Viewpoint; 1.3.5.1Reasoning I; Part (a); Part (b); 1.3.5.2Reasoning II; Part (a); Part (b); Part (c); 1.4 Speech-to-Speech Synthesis by Unit-Selection; 1.5 Alternate Perspectives for Ultra Low Bit-Rate Speech Coding |
|
1.6 Applications of Ultra Low Bit-Rate Speech Coding1.7 Organization of the Book; Chapter 2: Ultra Low Bit-Rate Coders; 2.1 Vector and Matrix Quantization; 2.2 Segment Vocoders; 2.2.1 Automatic Segmentation; 2.2.1.1Spectral Transition Measure; 2.2.1.2Maximum-Likelihood Segmentation; 2.2.1.3ML Segmentation: Duration Constrained (ML(DC)); 2.2.1.4ML Segmentation: A Generalized Basis; 2.2.1.5 Syllable-like units and other segmentations; 2.2.1.6Temporal Decomposition; 2.2.2 Segment Quantization; 2.2.3 Joint Segmentation Quantization; 2.2.3.1Basic framework |
|
2.2.3.2Shiraki and Honda Variable-Length Segment Quantization2.2.3.3 2-LevelDP Framework for Joint Segmentation and Quantization; 2.2.3.4One-Pass DP Algorithm; 2.2.3.5Phoneme Recognition and Phonetic Vocoders; 2.2.4 Segment Codebook; 2.2.4.1Template Segment Codebooks; 2.2.4.2HMM Segment Codebook; 2.2.5 Duration Modification; 2.2.6 Residual Parameterization and Quantization; 2.2.7 Synthesis; 2.3 R/D Optimal Linear Prediction; 2.3.1 Prandoni and Vetterli R/D Optimal Linear Prediction; 2.3.2 Variable-to-Variable Length Vector Quantization; 2.3.3 Multigrams Quantization |
|
2.3.4 Distortion Constrained Segmentation2.4 HMM Based Recognition-Synthesis Paradigm; 2.4.1 HTS Based Framework; 2.4.2 Speaker Adaptive HMM Recognition-Synthesis; 2.4.3 Ergodic HMM Framework; 2.4.4 Ismail and Ponting HMM Based Vocoders; 2.4.5 Formant Trajectory Model Based Recognition-Synthesis; 2.5 ALISP Units and Refinements; 2.5.1 Basic ALISP Framework; 2.5.2 Re-segmented Long Synthesis Units; 2.5.3 Short Synthesis Units by Dynamic Unit Selection; 2.5.4 Pre-selection of Units; 2.5.5 Noise Robustness; 2.6 Speaker Adaptation in Phonetic Vocoders; 2.7 Unit-Selection Paradigms |
|
2.8 Performance Measures for Segment QuantizationChapter 3: Unit Selection Framework; 3.1 Lee-Cox Single-Frame Unit Selection Quantization; 3.1.1 An Alternate ̀5 ms Segment ́Single-Frame Unit-Selection Algorithm; 3.2 Lee-Cox Segmental Unit Selection Quantization; 3.3 Run-Length Coding and Effective Bit-Rate; 3.4 Sub-optimality of Lee-Cox Segmental Unit-Selection Algorithm; Chapter 4: Unified and Optimal Unit-Selection Framework; 4.1 Unified Unit-Selection Framework; 4.1.1 Proposed One-Pass DP Algorithm; 4.1.1.1Comparison with Lee and Cox Single-Frame and Segmental Unit-Selection |
| Summary |
""Ultra Low Bit-Rate Speech Coding"" focuses on the specialized topic of speech coding at very low bit-rates of 1 Kbits/sec and less, particularly at the lower ends of this range, down to 100 bps. The authors set forth the fundamental results and trends that form the basis for such ultra low bit-rates to be viable and provide a comprehensive overview of various techniques and systems in literature to date, with particular attention to their work in the paradigm of unit-selection based segment quantization. The book is for research students, academic faculty and researchers, and industry prac |
| Analysis |
engineering |
|
patroonherkenning |
|
pattern recognition |
|
beeldverwerking |
|
image processing |
|
spraak |
|
speech |
|
taal |
|
language |
|
taalwetenschappen |
|
linguistics |
|
kunstmatige intelligentie |
|
artificial intelligence |
|
Engineering (General) |
|
Techniek (algemeen) |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed November 10, 2014) |
| Subject |
Speech processing systems -- Standards.
|
|
Automatic speech recognition.
|
|
Bit error rate.
|
|
Artificial intelligence.
|
|
Pattern recognition.
|
|
Natural language & machine translation.
|
|
Imaging systems & technology.
|
|
COMPUTERS -- General.
|
|
Automatic speech recognition
|
|
Bit error rate
|
|
Speech processing systems -- Standards
|
| Form |
Electronic book
|
| Author |
Doddala, Harish, author
|
| ISBN |
9781493913411 |
|
1493913417 |
|
1493913409 |
|
9781493913404 |
|
