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Automatic Speech Recognition

1,796 papers

Papers per year

1
195
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Papers

A Multi-Accent Acoustic Model Using Mixture of Experts for Speech Recognition INTERSPEECH 2019
Personalizing ASR for Dysarthric and Accented Speech with Limited Data INTERSPEECH 2019
Mitigating Noisy Inputs for Question Answering INTERSPEECH 2019
Speech Model Pre-Training for End-to-End Spoken Language Understanding INTERSPEECH 2019
Improving Conversation-Context Language Models with Multiple Spoken Language Understanding Models INTERSPEECH 2019
Multi-Task Multi-Network Joint-Learning of Deep Residual Networks and Cycle-Consistency Generative Adversarial Networks for Robust Speech Recognition INTERSPEECH 2019
R-Vectors: New Technique for Adaptation to Room Acoustics INTERSPEECH 2019
Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR INTERSPEECH 2019
Multi-Span Acoustic Modelling Using Raw Waveform Signals INTERSPEECH 2019
Improving Transformer-Based End-to-End Speech Recognition with Connectionist Temporal Classification and Language Model Integration INTERSPEECH 2019
Shallow-Fusion End-to-End Contextual Biasing INTERSPEECH 2019
All Together Now: The Living Audio Dataset INTERSPEECH 2019
Unbiased Semi-Supervised LF-MMI Training Using Dropout INTERSPEECH 2019
Acoustic Model Optimization Based on Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition INTERSPEECH 2019
Lattice-Based Lightly-Supervised Acoustic Model Training INTERSPEECH 2019
Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR INTERSPEECH 2019
End-to-End Automatic Speech Recognition with a Reconstruction Criterion Using Speech-to-Text and Text-to-Speech Encoder-Decoders INTERSPEECH 2019
Char+CV-CTC: Combining Graphemes and Consonant/Vowel Units for CTC-Based ASR Using Multitask Learning INTERSPEECH 2019
Guiding CTC Posterior Spike Timings for Improved Posterior Fusion and Knowledge Distillation INTERSPEECH 2019
Direct Neuron-Wise Fusion of Cognate Neural Networks INTERSPEECH 2019
Exploring the Encoder Layers of Discriminative Autoencoders for LVCSR INTERSPEECH 2019
Multi-Task CTC Training with Auxiliary Feature Reconstruction for End-to-End Speech Recognition INTERSPEECH 2019
Framewise Supervised Training Towards End-to-End Speech Recognition Models: First Results INTERSPEECH 2019
Neural Network-Based Modeling of Phonetic Durations INTERSPEECH 2019
Impact of ASR Performance on Spoken Grammatical Error Detection INTERSPEECH 2019