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This book collects the contributions to the NATO Advanced Study Institute on New Advances and Trends in Speech Recognition and Coding, held in Bubi6n, Granada (Spain), from June 28th to July 10th 1993.
The goal of the ASI was to bring together the most important experts on speech recognition and coding to discuss and disseminate their most recent findings, in order to extend them throughout European and American institutions, through a good selection of students. The main topics considered in the ASI were acoustic modeling language modeling speech processing, analysis and synthesis speech coding and vector quantization and neural nets. For each of these topics, some of the best-known researchers were invited to give a lecture. In addition to these lectures, the topics were complemented with discussions and presentations of the work of those attending.
The book has been divided into five parts corresponding to the above topics, the main focuses of the Advanced Study Institute. Each part includes the lectures and a brief account of the additional contributions. The text of the contributions were assembled after the meeting and they are believed to be up-to-date upon publication.
Part I: Acoustic Modeling.
Automatic Recognition of Noisy Speech.
Adaptive Learning in Acoustic and Language Modeling.
Evaluation of ASR Systems, Algorithms and Databases.
Statistical and Discriminative Methods for Speech Recognition.
Automatic Speech Labeling Using Word Pronunciation Networks and Hidden Markov Models.
Heuristic Search Methods for a Segment Based Continuous Speech Recognizer.
Dimension and Structure of the Vowel Space.
Continuous Speech HMM Training System: Applications to Speech Recognition and Phonetic Label Alignment.
HMM Based Acoustic-Phonetic Decoding with Constrained Transitions and Speaker Topology.
Experiments on a Fast Mixture Density Likelihood Computation.
Explicit Modelling of Duration in HMM: an Efficient Algorithm.
Acoustic-Phonetic Decoding of Spanish Continuous Speech with Hidden Markov Models.
HMM-Based Speech Recognition in Noisy Car Environment.
Extensions to the AESA for Finding k-Nearest-Neighbours.
An Efficient Pruning Algorithm for Continuous Speech Recognition.
On the Performance of SCHMM for Isolated Word Recognition and Rejection.
A Speaker Independent Isolated Word Recognition System for Turkish.
The Speech Recognition Research System of the TU Dresden.
A MMI Codebook Design for MVQHMM Speech Recognition.
SLHMM: An ANN Approach for Continuous Speech Recognition.
Medium Vocabulary Audiovisual Speech Recognition.
SLAM: A PC-Based Multi-Level Segmentation Tool.
Durational Modelling in HMM-based Speech Recognition: Towards a Justified Measure.
Rejection in Speech Recognition for Telecommunication Applications.
Part II: Language Modeling.
A Learning Approach to Natural Language Understanding.
Language Models for Automatic Speech Recognition.
Grammatical Inference and Automatic Speech Recognition.
Statistical Modeling of Segmental and Suprasegmentai Information.
Search Strategies For Large-Vocabulary Continuous-Speech Recognition.
Two New Approaches to Language Modeling: A Tutorial.
Representing Word Pronunciations as Trees.
Language Models Comparison in a Robot Telecontrol Application.
Keyword Propagation Viterbi Algorithm.
Dialog and Language Modeling in CRIM's ATIS System.
On the Use of the Leaving-One-Out Method in Statistical Language Modelling.
Application of Grammar Constraints to ASR Using Signature Functions.
CRIM Hidden Markov Model Based Keyword Recognition System.
Modelling Phone-Context in Spanish by Using SCMGGI Models.
Efficient Integration of Context-Free Language Models in Continuous Speech Recognition.
Keyword Spotting. an Application for Voice Dialing.
Part III: Speech Processing, Analysis and Synthesis.
Telecommunications Applications of Speech Processing.
Disambiguating Hierarchical Segmentations of Speech Signals.
Talker Tracking using two Microphone Pairs and a CrosspowerSpectrum Phase Analysis.
A Text-to-Speech Services Architecture for UNIX.
Comparison of Parametric Spectral Representations for Voice Recognition in Noisy Environments .
Spectral Analysis of Turkish Vowels and a Comparison of Vowel Normalization Algorithms.
Can You Tell Apart Spontaneous and Read Speech if You Just Look at Prosody? .
The Prosodic Marking of Phrase Boundaries: Expectations and Results.
Voice Source State as a Source of Information in Speech Recognition: Detection of Laryngealizations.
Voice Transformations for the Evaluation of Speaker Verification Systems.
Towards a More Realistic Evaluation of Synthetic Speech: A Cognitive Perspective.
A Non-Linear Speech Analysis Based on Modulation Infonnation.
The Recognition Component of the SUNDIAL Project.
Part IV: Speech Coding.
An Overview of Different Trends on CELP Coding.
Concepts and Paradigms in Speech Coding.
Speech Coding over Noisy Channels.
Lattice and Trellis Coded Quantizations for Efficient Coding of Speech.
8 kbit/s LD-CELP Coding for Mobile Radio.
Subband Long-Tenn Prediction for LPC-Coders.
On the Use of Interframe Information of Line Spectral Frequencies in Speech Coding.
Speech Coding Using the Karhunen-L6eve Representation of the Spectral Envelope of Acoustic Subwords.
Excitation Construction for the Robust Low Bit Rate CELP Speech Coder.
A Discrete Cosine Transform Scheme for Low-Delay Wideband Speech Coding 0.
MOR-VQ for Speech Coding Over Noisy Analog Channels.
Improved CELP Coding Using a Fully Adaptive Excitation Codebook.
Part V: Vector Quantization and Neural Nets.
Recent Advances in JANUS: A Speech Translation System.
On a Fuzzy DVQ Algorithm for Speech Recognition.
On the Use of Recurrent Neural Networks for Grammar Learning and Word Spotting.
LVQ-based Codebooks in Phonemic Speech Recognition.
Distributed and Local Neural Classifiers for Phoneme Recognition.
A VQ Algorithm Based on Genetic Algorithms and LVQ.
Vector Quantization Based Classification and Maximum Likelihood Decoding for Speaker Recognition.
Evidence Combination in Speech Recognition Using Neural Networks