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Technical Program Click the link to find the list of accepted papers. Summary of the Program
Notations in the table:
Summary of the Sessions Tutorials and Plenaries
Special Sessions
Lecture Sessions
Poster Sessions
Tutorial 1 (10:00-12:00 Dec 13) Tutorial 2 (13:30-15:30 Dec 13) Plenary 1 (16:30-17:30 Dec 13) Plenary 2 (8:30-9:30 Dec 14) Plenary 3 (8:30-9:30 Dec 15) Plenary 4 (8:30-9:30 Dec 16) SPE1 RICH INFORMATION ANNOTATION AND SPOKEN LANGUAGE PROCESSING SPE1.1 - Nonlinear Emotional Prosody Generation and Annotation SPE1.2 - Rhythmic Organization of Mandarin Utterances --- A Two-Stage Process SPE1.3 - Contextual Maximum Entropy Model for Edit Disfluency Detection of Spontaneous Speech * SPE1.4 - The Breath Segment in Expressive Speech * SPE1.5 - Applying SFC Model for Chinese Expressive Speech Synthesis SPE1.6 - HMM-Based Emotional Speech Synthesis using Average Emotion Model SPE2 SPEAKER RECOGNITION SPE2.1 - CCC Speaker Recognition Evaluation 2006: Overview, Methods, Data, Results and Perspective SPE2.2 - The IIR Submission to CSLP 2006 Speaker Recognition Evaluation SPE2.3 - A Novel Alternative Hypothesis Characterization Using Kernel Classifiers for LLR-based Speaker Verification SPE2.4 - Speaker Verification Using Complementary Information from Vocal Source and Vocal Tract SPE2.5 - ISCSLP SR Evaluation, UVA--CSes System Description. A System Based on ANNs SPE2.6 - Evaluation of EMD-based Speaker Recognition using ISCSLP2006 Chinese Speaker Recognition Evaluation Corpus SPE3 MULTILINGUAL CORPUS DEVELOPMENT - I SPE3.1 - The Contribution of Lexical Resources to Natural Language Processing of CJK Languages SPE3.2 - Multilingual Spoken Language Corpus Development for Communication Research SPE3.3 - The Paradigm for Creating Multi-lingual Text-to-Speech Voice Databases * SPE3.4 - Recent Advances of Speech Databases Development Activity for Indian Languages SPE3.5 - HKUST/MTS: A Very Large Scale Mandarin Telephone Speech Corpus SPE3.6 - Development of Multi-lingual Spoken Corpora of Indian Languages SPE4 MULTILINGUAL CORPUS DEVELOPMENT - II * SPE4.1 - Design of Vietnamese Speech Corpus and Current Status SPE4.2 - Multilingual Speech Corpora for TTS System Development SPE4.3 - Construct Trilingual Parallel Corpus on Demand * SPE4.4 - Multilingual Text - Speech Corpus of Mongolian * SPE4.5 - Design of Cross-lingual and Multilingual Corpora for Speaker Recognition Research and Evaluation in Indian Languages * SPE4.6 - Multi-lingual TTS Speech Corpus Development SPE5 ROBUST TECHNIQUES FOR ORGANIZING AND RETRIEVING SPOKEN DOCUMENTS SPE5.1 - A Multi-layered Summarization System for Multi-media Archives by Understanding and Structuring of Chinese Spoken Documents SPE5.2 - Extractive Chinese Spoken Document Summarization Using Probabilistic Ranking Models SPE5.3 - Initial Experiments on Automatic Story Segmentation in Chinese Spoken Documents using Lexical Cohesion of Extracted Named Entities * SPE5.4 - Syllable Based Audio Search Using Confusion Network Arc as Indexing Unit SPE5.5 - Meeting Segmentation Using Two-Layer Cascaded Subband Filters SPE5.6 - Speaker-and-environment Change Detection in Broadcast News using Maximum Divergence Common Component GMM L1 ROBUST SPEECH RECOGNITION L1.1 - Vector Autoregressive Model for Missing Feature Reconstruction L1.2 - Auditory Contrast Spectrum for Robust Speech Recognition L1.3 - Signal Trajectory Based Noise Compensation for Robust Speech Recognition L1.4 - An HMM Compensation Approach Using Unscented Transformation For Noisy Speech Recognition L1.5 - Noisy Speech Recognition Performance of Discriminative HMMs L1.6 - Distributed Speech Recognition of Mandarin Digits String L2 SPEECH ANALYSIS AND ENHANCEMENT L2.1 - A Robust Voice Activity Detection based on Noise Eigenspace Projection L2.2 - Pitch Mean Based Frequency Warping L2.3 - A Study of Knowledge-based Features for Obstruent Detection and Classification in Continuous Mandarin Speech L2.4 - Adaptive Null-Forming Algorithm with Auditory Sub-bands L2.5 - Multi-channel Noise Reduction in Noisy Environments L2.6 - A Minimum Boundary Error Framework for Automatic Phonetic Segmentation L3 LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION L3.1 - Advances in Mandarin Broadcast Speech Transcription at IBM under the DARPA GALE Program L3.2 - Improved Large Vocabulary Continuous Chinese Speech Recognition by Character-based Consensus Networks L3.3 - All-Path Decoding Algorithm for Segmental Based Speech Recognition L3.4 - Improved Mandarin Speech Recognition by Lattice Rescoring with Enhanced Tone Models L3.5 - On Using Entropy Information to Improve Posterior Probability-based Confidence Measures L3.6 - Vietnamese Automatic Speech Recognition: the FLaVoR Approach L4 ACOUSTIC MODELING AND SPEAKER ADAPTATION L4.1 - Minimum Phone Error (MPE) Model and Feature Training on Mandarin Broadcast News Task L4.2 - State-Dependent Phoneme-Based Model Merging for Dialectal Chinese Speech Recognition L4.3 - Non-uniform Kernel Allocation based Parsimonious HMM L4.4 - Consistent Modeling of the Static and Time-Derivative Cepstrums for Speech Recognition Using HSPTM L4.5 - Unsupervised Speaker Adaptation using Reference Speaker Weighting L4.6 - Automatic Construction of Regression Class Tree for MLLR via Model-based Hierarchical Clustering L5 SPEECH SYNTHESIS L5.1 - Predicting Prosody From Text L5.2 - Prosodic Boundary Prediction Based on Maximum Entropy Model with Error-Driven Modification L5.3 - Prosodic Word Prediction using a Maximum Entropy Approach L5.4 - Prosodic Words Prediction from Lexicon Words with CRF and TBL Joint Method L5.5 - An HMM-Based Mandarin Chinese Text-to-Speech System L5.6 - A Hakka Text-To-Speech System L6 RECOGNITION OF SPEAKERS AND LANGUAGES L6.1 - Integrating Complementary Features with a Confidence Measure for Speaker Identification L6.2 - Discriminative Transformation for Sufficient Adaptation in Text-Independent Speaker Verification L6.3 - Fusion of Acoustic and Tokenization Features for Speaker Recognition L6.4 - UBM based Speaker Segmentation and Clustering for 2-Speaker Detection L6.5 - Design of Cubic Spline Wavelet for Open Set Speaker Classification in Marathi L6.6 - Language Identification by Using Syllable-based Duration Classification on Code-switching Speech L7 TOPICS IN SPEECH SCIENCE L7.1 - Mechanisms of Question Intonation in Mandarin L7.2 - Comparison of Perceived Prosodic Boundaries and Global Characteristics of Voice Fundamental Frequency Contours in Mandarin Speech L7.3 - Linguistic Markings of Units in Spontaneous Mandarin L7.4 - Phonetic and Phonological Analysis of Focal Accents of Disyllabic Words in Standard Chinese L7.5 - Focus, Lexical Stress and Boundary Tone: Interaction of Three Prosodic Features L7.6 - Speech Synthesis Based on a Physiological Articulatory Model L8 SPOKEN AND MULTIMODAL DIALOG SYSTEMS AND APPLICATIONS L8.1 - A Corpus-based Approach for Cooperative Response Generation in a Dialog System L8.2 - A Cantonese Speech-Driven Talking Face Using Translingual Audio-to-Visual Conversion L8.3 - The Implementation of Service Enabling with Spoken Language of a Multi-modal System Ozone L8.4 - Spoken Correction for Chinese Text Entry L8.5 - Automatic Detection of Tone Mispronunciation in Mandarin L8.6 - Towards Automatic Tone Correction in Non-native Mandarin L9 MACHINE TRANSLATION AND LANGUAGE MODELING FOR SPOKEN LANGUAGE PROCESSING L9.1 - Some Improvements in Phrase-Based Statistical Machine Translation L9.2 - Automatic Spoken Language Translation Template Acquisition Based on Boosting Structure Extraction and Alignment * L9.3 - A Feasibility Study for Chinese-Spanish Statistical Machine Translation L9.4 - A Unified Framework for Text Analysis in Chinese TTS * L9.5 - Chinese Character-based Segmentation & POS-tagging and Named Entity Identification with a CRF Chunker * L9.6 - Automatic Chinese Dialogue Text Summarization Based On LSA and Segmentation * P1 SPEECH ANALYSIS, ENHANCEMENT, CODING AND SYNTHESIS P1.1 - Acoustic Analysis of Emotional Speech in Mandarin Chinese P1.2 - Investigation on Pleasure Related Acoustic Features of Affective Speech P1.3 - Comparison of News Announcing and Talking Styles in Broadcast Speech P1.4 - Multi-Pitch Detection for Co-Channel Speech Utilizing Frequency Channel Piecewise Integration and Morphological Feedback Verification Tracking P1.5 - A New Approach for Speech/Music Discrimination Based on Cepstral Distance P1.6 - Speaker Diarization System Based on GMM and BIC P1.7 - A Robust Acoustic Echo Canceller for Noisy Environment P1.8 - Short-Time ICA for Blind Separation of Noisy Speech P1.9 - A Closed-loop Multimode Variable Bit Rate Characteristic Waveform Interpolation Coder P1.10 - A Low-complexity Improved WI Speech Coding at 2kbps P1.11 - Modular Text-to-Speech Synthesis Evaluation for Mandarin Chinese P1.12 - State-Correlated Duration Model for HMM-Based Speech Synthesis System P1.13 - A Diphone Sharing Method Towards Scalable Unit-training-based TTS P1.14 - A Unified Totally-Data-Driven Framework for Duration and Intonation Modeling P1.15 - Pitch Prediction for Mandarin TTS with Mutual Prosodic Constraint P1.16 - Prosodic Word Grouping in Mandarin TTS System P1.17 - An Initial System for Integrated Synthesis of Mandarin, Min-nan, and Hakka Speech P1.18 - Spectral Continuity Measures at Mandarin Syllable Boundaries P1.19 - A Multi-stage Method for Text-To-Pronunciation Conversion P1.20 - Decision Tree Classification Approach for Model Selection in Segmenting Mandarin TTS Corpus * P2 TOPICS IN SPOKEN LANGUAGE PROCESSING P2.1 - Evaluation of Aspiration Sounds of Chinese Labial and Alveolar Diphthong Uttered by Japanese Students Using Voice Onset Time and Breathing Power P2.2 - Contrastive Study on Tonal Patterns Between Accented and Standard Chinese P2.3 - Mismatch Negativity Elicited by Non-cluster and Cluster Consonants Changes in Thai Words in Humans P2.4 - F0 Analysis of Chinese Accented German Speech P2.5 - Automatic Scoring of Flat Tongue and Raised Tongue in Computer-assisted Mandarin Learning P2.6 - Improvements in Tone Pronunciation Scoring for Strongly Accented Mandarin Speech P2.7 - The Application of Phone Weight in Putonghua Pronunciation Quality Assessment P2.8 - SpeechQoogle: An Open-Domain Question Answering System with Speech Interface P2.9 - Research and Analysis of Fast Training in SVM-based Audio Classification P2.10 - An Efficient and Robust Approach to Audio ID Identification P2.11 - Robust Speech-Annotated Photo Retrieval Using Syllable-Transformed Patterns P2.12 - Two-layer Distance Scheme in Matching Engine for Query by Humming System P2.13 - A Top-down Approach to Melody Match in Pitch Contour for Query by Humming P2.14 - Multi-accented Mandarin Database Construction and Benchmark Evaluations * P3 SPEECH RECOGNITION P3.1 - EM Algorithm with Split and Merge in Trajectory Clustering for Automatic Speech Recognition P3.2 - Sausage-net-based Minimum Phone Error Training for Continuous Phone Recognition P3.3 - Training Discriminative HMM by Optimal Allocation of Gaussian Kernels P3.4 - Recognition of Emotional Speech and Speech Emotion in Farsi P3.5 - Monte Carlo Noisy HMM Estimation and Segmental Differential Features on the Aurora2 Clean Training Evaluation P3.6 - Optimizing the Implementation of MMSE Enhancement for Robust Speech Recognition P3.7 - Speech Endpoint Detection Based on Sub-band Energy and Harmonic Structure of Voice P3.8 - Improving the Robustness of LPCC Feature Against Impulsive Noise by Applying the FOP Method P3.9 - A Low-Cost Robust Front-end for Embedded ASR System P3.10 - A Comparative Study on Confidence Measure in Mandarin Command Word Recognition P3.11 - Speaker Adaptation Using Projection to Latent Structure Algorithm P3.12 - Unvoiced Landmark Detection for Segment-based Mandarin Continuous Speech Recognition P3.13 - Experimental Investigation into Alignment-based Acoustic Confidence Measures in Keyword Verification for Mandarin Speech P3.14 - Speaker, Vocabulary and Context Independent Word Spotting System for Continuous Speech P3.15 - Keyword Spotting Based on Phoneme Confusion Matrix P3.16 - Performance Evaluation of Non-Keyword Modeling for Vocabulary-Independent Keyword Spotting P3.17 - DOE and ANOVA based Performance Influencing Factor Analysis for Evaluation of Speech Recognition Systems P3.18 - Full Utilization of Closed-captions in Broadcast News Recognition P3.19 - Integrating Hypotheses of Multiple Recognizers for Improving Mandarin LVCSR Performance P3.20 - English Alphabet Recognition Based on Chinese Acoustic Modeling * P4 RECOGNITION OF SPEAKERS AND LANGUAGES P4.1 - Minimum Classification Error Based Optimal Linear Combination for Spoken Language Identification P4.2 - Automatic Tonal and Non-Tonal Language Classification and Language Identification Using Prosodic Information P4.3 - Incorporating Prosodic with Acoustic information for ISCSLP'2006 Speaker Recognition Evaluation- Robust Cross-Channel Speaker Verification P4.4 - Compensations for SVM in Text-Independent Speaker Verification P4.5 - Exploiting GMM-based Quality Measure for SVM Speaker Verification P4.6 - Feature Extraction and Test Algorithm for Speaker Verification P4.7 - Frame-level Nonlinearity for Robust DTW-based Speaker Verification P4.8 - Temporal Discrete Cosine Transform: Towards Longer Term Temporal Features for Speaker Verification P4.9 - On the Use of Long-Term Average Spectrum in Automatic Speaker Recognition P4.10 - A New Data Fusion Technique and Performance Measure for Identification of Twins in Marathi Note: The papers that are preceded by * are included in the companion volume of the proceedings. If a section is preceded by *, all the papers in the section are included in the companion volume. The remaining papers are included in the Springer LNAI 4274. |
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©2005-2006 Chinese and Oriental Languages Information Processing Society, Singapore | Last updated on December 21, 2006 . |