Speech Recognition and Understanding: Recent Advances, Trends and Applications: NATO ASI Subseries F:, cartea 75
Editat de Pietro Laface, Renato Demorien Limba Engleză Paperback – 23 dec 2011
Din seria NATO ASI Subseries F:
- 20% Preț: 615.93 lei
- 20% Preț: 633.26 lei
- 20% Preț: 939.94 lei
- 18% Preț: 1173.60 lei
- 20% Preț: 1826.21 lei
- 20% Preț: 619.83 lei
- 18% Preț: 1168.67 lei
- 20% Preț: 672.30 lei
- 20% Preț: 621.41 lei
- 18% Preț: 1756.62 lei
- 20% Preț: 355.27 lei
- 20% Preț: 939.46 lei
- 20% Preț: 635.61 lei
- 20% Preț: 1823.87 lei
- 20% Preț: 942.11 lei
- Preț: 369.06 lei
- 20% Preț: 623.26 lei
- 20% Preț: 620.61 lei
- 18% Preț: 1160.44 lei
- 18% Preț: 901.73 lei
- 20% Preț: 314.63 lei
- 20% Preț: 1216.46 lei
- 20% Preț: 610.76 lei
- Preț: 375.09 lei
- 18% Preț: 1156.43 lei
- 15% Preț: 609.40 lei
- 20% Preț: 611.39 lei
- 20% Preț: 1215.04 lei
- 20% Preț: 621.73 lei
- 20% Preț: 1215.36 lei
- 20% Preț: 1822.15 lei
- 20% Preț: 343.20 lei
Preț: 628.43 lei
Preț vechi: 785.54 lei
-20% Nou
Puncte Express: 943
Preț estimativ în valută:
120.31€ • 130.35$ • 100.47£
120.31€ • 130.35$ • 100.47£
Carte tipărită la comandă
Livrare economică 12-26 decembrie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783642766282
ISBN-10: 3642766285
Pagini: 580
Ilustrații: XI, 559 p.
Dimensiuni: 170 x 242 x 30 mm
Greutate: 0.91 kg
Ediția:Softcover reprint of the original 1st ed. 1992
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria NATO ASI Subseries F:
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642766285
Pagini: 580
Ilustrații: XI, 559 p.
Dimensiuni: 170 x 242 x 30 mm
Greutate: 0.91 kg
Ediția:Softcover reprint of the original 1st ed. 1992
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria NATO ASI Subseries F:
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
1 Recent Results on Hidden Markov Models.- Invited papers.- Hidden Markov Models for Speech Recognition — Strengths and Limitations.- Hidden Markov Models and Speaker Adaptation.- A 20,000 word Automatic Speech Recognizer. Adaptation to French of the US TANGORA System.- Automatic Adjustments of the Markov Models Topology for Speech Recognition Applications over the Telephone.- Phonetic Structure Inference of Phonemic HMM.- Phonetic Units and Phonotactical Structure Inference by Ergodic Hidden Markov Models.- Clustering of Gaussian Densities in Hidden Markov Models.- Developments in High-Performance Connected Digit Recognition.- Robust Speaker-Independent Hidden Markov Model Based Word Spotter.- Robust Speech Recognition in Noisy and Reverberant Environments.- An ISDN Speech Server based on Speaker Independent Continuous Hidden Markov Models.- RAMSES: A Spanish Demisyllable Based Continuous Speech Recognition System.- Speaker Independent, 1000 Words Speech Recognition in Spanish.- Continuously Variable Transition Probability HMM for Speech Recognition.- 2 Continuous Speech Recognition Systems.- Invited papers.- Context-Dependent Phonetic Hidden Markov Models for Speaker-Independent Continuous Speech Recognition (Abstract).- Speaker-Independent Continuous Speech Recognition Using Continuous Density Hidden Markov Models.- Contributed papers.- A Fast Lexical Selection Strategy for Large Vocabulary Continuous Speech Recognition.- Performance of a Speaker-Independent Continuous Speech Recognizer.- Automatic Transformation of Speech Databases for Continuous Speech Recognition.- Iterative Optimization of the Data Driven Analysis in Continuous Speech.- Syllable-based Stochastic Models for Continuous Speech Recognition.- Word Hypothesization in Continuous Speech Recognition.-Phone Recognition Using High Order Phonotactic Constraints.- An Efficient Structure for Continuous Speech Recognition.- Search Organization for Large Vocabulary Continuous Speech Recognition.- 3 Connectionist Models of Speech.- Invited papers.- Neural Networks or Hidden Markov Models for Automatic Speech Recognition: Is there a Choice?.- Neural Networks for Continuous Speech Recognition.- Connectionist Large Vocabulary Speech Recognition.- The Cortical Column as a Model for Speech Recognition: Principles and First Experiments.- Contributed papers.- Radial Basis Functions for Speech Recognition.- Phonetic Features Extraction Using Time-Delay Neural Networks.- Improved Broad Phonetic Classification and Segmentation with an Auditory Model.- Automatic Learning of a Production Rule System for Acoustic-Phonetic Decoding.- 4 Stochastic Models for Language and Dialogue.- Invited papers.- Stochastic Grammars and Pattern Recognition.- Basic Methods of Probabilistic Context Free Grammars.- A Probabilistic Approach to Person-Robot Dialogue.- Contributed papers.- Experimenting Text Creation by Natural-Language, Large-Vocabulary Speech Recognition.- DUALGRAM: An Efficient Method for Representing Limited-Domain Language Models.- Strategies for Speech Recognition and Understanding Using Layered Protocols.- 5 Understanding and Dialogue Systems.- Invited papers.- TINA: A Probabilistic Syntactic Parser for Speech Understanding Systems.- The Voyager Speech Understanding System: A Progress Report.- The Interaction of Word Recognition and Linguistic Processing in Speech Understanding.- Linguistic Processing in a Speech Understanding System.- Contributed papers.- Linguistic Tools for Speech Recognition and Understanding.- Evidential Reasoning and the Combination of Knowledge and StatisticalTechniques in Syllable Based Speech Recognition.- 6 Speech Analysis, Coding and Segmentation.- Contributed papers.- Data Base Management for Use with Acoustic-Phonetic Speech Data Bases.- BPF Outputs Compared with Formant Frequencies and LPCs for the Recognition of Vowels.- A Codification of Error Signal by Splines Functions.- Specific Distance for Feature Selection in Speech Recognition.- Multiple Template Modeling of Sublexical Units.- Learning Structural Models of Sublexical Units.- On the Use of Negative Samples in the MGGI Methodology and its Application for Difficult Vocabulary Recognition Tasks.- A New Method for Dynamic Time Alignment of Speech Waveforms.- A New Technique for Automatic Segmentation of Continuous Speech.- Segmentation of Speech based upon a Linear Model of the Effects of Coarticulation 549 P.J. D.