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000724001 019__ $$a908086268
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000724001 020__ $$a1493913417$$qelectronic book
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000724001 050_4 $$aTK7882.S65
000724001 08204 $$a006.4/54$$223
000724001 1001_ $$aRamasubramanian, V.,$$eauthor.
000724001 24510 $$aUltra low bit-rate speech coding$$h[electronic resource] /$$cV. Ramasubramanian, Harish Doddala.
000724001 264_1 $$aNew York, NY :$$bSpringer,$$c[2014]
000724001 264_4 $$c©2015
000724001 300__ $$a1 online resource (vii, 152 pages) :$$billustrations (some color).
000724001 336__ $$atext$$btxt$$2rdacontent
000724001 337__ $$acomputer$$bc$$2rdamedia
000724001 338__ $$aonline resource$$bcr$$2rdacarrier
000724001 4901_ $$aSpringerBriefs in Electrical and Computer Engineering,$$x2191-8112
000724001 504__ $$aIncludes bibliographical references.
000724001 5050_ $$aChapter 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
000724001 5058_ $$a1.6 Applications of Ultra Low Bit-Rate Speech Coding1.7 Organization of the Book; Chapter 2: Ultra Low Bit-Rate Coders; 2.1 Vector and Matrix Quantization; 2.2 Segment Vocoders; 2.2.1 Automatic Segmentation; 2.2.1.1Spectral Transition Measure; 2.2.1.2Maximum-Likelihood Segmentation; 2.2.1.3ML Segmentation: Duration Constrained (ML(DC)); 2.2.1.4ML Segmentation: A Generalized Basis; 2.2.1.5 Syllable-like units and other segmentations; 2.2.1.6Temporal Decomposition; 2.2.2 Segment Quantization; 2.2.3 Joint Segmentation Quantization; 2.2.3.1Basic framework
000724001 5058_ $$a2.2.3.2Shiraki 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
000724001 5058_ $$a2.3.4 Distortion Constrained Segmentation2.4 HMM Based Recognition-Synthesis Paradigm; 2.4.1 HTS Based Framework; 2.4.2 Speaker Adaptive HMM Recognition-Synthesis; 2.4.3 Ergodic HMM Framework; 2.4.4 Ismail and Ponting HMM Based Vocoders; 2.4.5 Formant Trajectory Model Based Recognition-Synthesis; 2.5 ALISP Units and Refinements; 2.5.1 Basic ALISP Framework; 2.5.2 Re-segmented Long Synthesis Units; 2.5.3 Short Synthesis Units by Dynamic Unit Selection; 2.5.4 Pre-selection of Units; 2.5.5 Noise Robustness; 2.6 Speaker Adaptation in Phonetic Vocoders; 2.7 Unit-Selection Paradigms
000724001 5058_ $$a2.8 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
000724001 506__ $$aAccess limited to authorized users.
000724001 520__ $$a""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.
000724001 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 10, 2014).
000724001 650_0 $$aSpeech processing systems$$xStandards.
000724001 650_0 $$aAutomatic speech recognition.
000724001 650_0 $$aBit error rate.
000724001 7001_ $$aDoddala, Harish,$$eauthor.
000724001 77608 $$iPrint version:$$aRamasubramanian, V.$$tUltra Low Bit-Rate Speech Coding$$dNew York, NY : Springer New York,c2014$$z9781493913404
000724001 830_0 $$aSpringerBriefs in electrical and computer engineering.
000724001 852__ $$bebk
000724001 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-1-4939-1341-1$$zOnline Access$$91397441.1
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000724001 980__ $$aBIB
000724001 982__ $$aEbook
000724001 983__ $$aOnline
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