Noise-Resilient Training Method for Face Landmark Generation From Speech
Visual cues such as lip movements, when available, play an important role in speech communication. They are especially helpful for the hearing…
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Advancing Acoustic-to-Word CTC Model With Attention and Mixed-Units
The acoustic-to-word model based on the Connectionist Temporal Classification (CTC) criterion is a natural end-to-end (E2E) system directly targeting…
Read moreBeyond Error Propagation: Language Branching Also Affects the Accuracy of Sequence Generation
Sequence generation tasks, such as neural machine translation (NMT) and abstractive summarization, usually suffer from exposure bias as well as the…
Read moreThree-Dimensional Sound Field Reproduction Based on Weighted Mode-Matching Method
A sound field reproduction method based on the spherical wavefunction expansion of sound fields is proposed, which can be flexibly applied to various…
Read moreDiscriminative Neural Embedding Learning for Short-Duration Text-Independent Speaker Verification
Short duration text-independent speaker verification remains a hot research topic in recent years, and deep neural network based embeddings have…
Read moreSpeech Emotion Classification Using Attention-Based LSTM
Automatic speech emotion recognition has been a research hotspot in the field of human-computer interaction over the past decade. However, due to the…
Read moreEffective Subword Segmentation for Text Comprehension
Representation learning is the foundation of machine reading comprehension and inference. In state-of-the-art models, character-level representations…
Read moreAdversarial Learning for Constrained Image Splicing Detection and Localization Based on Atrous Convolution
Constrained image splicing detection and localization (CISDL), which investigates two input suspected images and identifies whether one image has…
Read moreAnomalyNet: An Anomaly Detection Network for Video Surveillance
Sparse coding-based anomaly detection has shown promising performance, of which the keys are feature learning, sparse representation, and dictionary…
Read moreAssessment of the Effectiveness of Seven Biometric Feature Normalization Techniques
The importance of normalizing biometric features or matching scores is understood in the multimodal biometric case, but there is less attention to…
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