Thursday 19:15-20:15(GMT+8), October 29
Thursday 19:15-20:15(GMT+8), October 29
- Thu-1-8-8 Domain Adversarial Training for Dysarthric Speech Recognition 2020-09-28
- Thu-1-8-7 ASR-based Evaluation and Feedback for Individualized Reading Practice 2020-09-28
- Thu-1-8-6 Shadowability Annotation with Fine Granularity on L2 Utterances and Its Improvement with Native Listeners' Script-shadowing 2020-09-28
- Thu-1-8-5 Ensemble Approaches for Uncertainty in Spoken Language Assessment 2020-09-28
- Thu-1-8-4 Universal Adversarial Attacks on Spoken Language Assessment Systems 2020-09-28
- Thu-1-8-3 Targeted Content Feedback in Spoken Language Learning and Assessment 2020-09-28
- Thu-1-8-2 Mixtures of Deep Neural Experts for Automated Speech Scoring 2020-09-28
- Thu-1-8-1 Spoken Language 'Grammatical Error Correction' 2020-09-28
- Thu-1-7-8 Length- and Noise-aware Training Techniques for Short-utterance Speaker Recognition 2020-09-28
- Thu-1-7-7 ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification 2020-09-28
- Thu-1-7-6 Domain-Invariant Speaker Vector Projection by Model-Agnostic Meta-Learning 2020-09-28
- Thu-1-7-5 Angular Margin Centroid Loss for Text-independent Speaker Recognition 2020-09-28
- Thu-1-7-4 Supervised domain adaptation for text-independent speaker verification using limited data 2020-09-28
- Thu-1-7-3 Training Speaker Enrollment Models by Network Optimization 2020-09-28
- Thu-1-7-2 On Parameter Adaptation in Softmax-based Cross-Entropy Loss for Improved Convergence Speed and Accuracy in DNN-based Speaker Recognition 2020-09-28
- Thu-1-7-1 Dynamic Margin Softmax Loss for Speaker Verification 2020-09-28
- Thu-SS-1-6-9 Automatic Speech Recognition for ILSE-Interviews: Longitudinal Conversational Speech Recordings covering Aging and Cognitive Decline 2020-09-28
- Thu-SS-1-6-8 A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning 2020-09-28
- Thu-SS-1-6-7 Understanding Self-Attention of Self-Supervised Audio Transformers 2020-09-28
- Thu-SS-1-6-6 Defense for black-box attacks on anti-spoofing models by self-supervised learning 2020-09-28
- Thu-SS-1-6-5 Sequence-level self-learning with multiple hypotheses 2020-09-28
- Thu-SS-1-6-4 Large scale weakly and semi-supervised learning for low-resource video ASR 2020-09-28
- Thu-SS-1-6-3 Speech-XLNet: Unsupervised Acoustic Model Pretraining For Self-Attention Networks 2020-09-28
- Thu-SS-1-6-2 Vector-Quantized Autoregressive Predictive Coding 2020-09-28
- Thu-SS-1-6-1 Jointly Fine-Tuning "BERT-like'' Self Supervised Models to Improve Multimodal Speech Emotion Recognition 2020-09-28
- Thu-1-5-8 Links between production and perception of glottalisation in individual Australian English speaker/listeners 2020-09-28
- Thu-1-5-7 CSL-EMG_Array: An Open Access Corpus for EMG-to-Speech Conversion 2020-09-28
- Thu-1-5-6 Independent and Automatic Evaluation of Speaker-Independent Acoustic-to-Articulatory Reconstruction 2020-09-28
- Thu-1-5-5 Quantification of Transducer Misalignment in Ultrasound Tongue Imaging 2020-09-28
- Thu-1-5-4 Using Silence MR Image to Synthesise Dynamic MRI Vocal Tract Data of CV 2020-09-28
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