Co-occurring keywords
Papers
Sequence-Level Self-Learning with Multiple Hypotheses
INTERSPEECH 2020
Domain Adversarial Neural Networks for Dysarthric Speech Recognition
INTERSPEECH 2020
Conformer: Convolution-augmented Transformer for Speech Recognition
INTERSPEECH 2020
Improving Detection of Alzheimer’s Disease Using Automatic Speech Recognition to Identify High-Quality Segments for More Robust Feature Extraction
INTERSPEECH 2020
Detecting Audio Attacks on ASR Systems with Dropout Uncertainty
INTERSPEECH 2020
Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification
INTERSPEECH 2020
Mixtures of Deep Neural Experts for Automated Speech Scoring
INTERSPEECH 2020
ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context
INTERSPEECH 2020
Developing RNN-T Models Surpassing High-Performance Hybrid Models with Customization Capability
INTERSPEECH 2020
Quantization Aware Training with Absolute-Cosine Regularization for Automatic Speech Recognition
INTERSPEECH 2020
An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling
INTERSPEECH 2020
Semi-Supervised ASR by End-to-End Self-Training
INTERSPEECH 2020
UncommonVoice: A Crowdsourced Dataset of Dysphonic Speech
INTERSPEECH 2020
Adversarial Audio: A New Information Hiding Method
INTERSPEECH 2020
Building a Robust Word-Level Wakeword Verification Network
INTERSPEECH 2020
DARTS-ASR: Differentiable Architecture Search for Multilingual Speech Recognition and Adaptation
INTERSPEECH 2020
Hierarchical Multi-Stage Word-to-Grapheme Named Entity Corrector for Automatic Speech Recognition
INTERSPEECH 2020
Combination of End-to-End and Hybrid Models for Speech Recognition
INTERSPEECH 2020