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Automatic Speech Recognition

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TitleStatusHype
Adversarial Joint Training with Self-Attention Mechanism for Robust End-to-End Speech Recognition—0
Configurable Privacy-Preserving Automatic Speech Recognition—0
Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yol\'oxochitl Mixtec—0
Context-sensitive evaluation of automatic speech recognition: considering user experience & language variation—0
Dialect Identification through Adversarial Learning and Knowledge Distillation on Romanian BERT—0
Tutorial Proposal: End-to-End Speech Translation—0
Multi-Encoder Learning and Stream Fusion for Transformer-Based End-to-End Automatic Speech Recognition—0
Adversarial Attacks and Defenses for Speech Recognition Systems—0
Large-Scale Pre-Training of End-to-End Multi-Talker ASR for Meeting Transcription with Single Distant Microphone—0
Multiple-hypothesis CTC-based semi-supervised adaptation of end-to-end speech recognition—0
Quantifying Bias in Automatic Speech RecognitionCode0
Construction of a Large-scale Japanese ASR Corpus on TV Recordings—0
Mutually-Constrained Monotonic Multihead Attention for Online ASR—0
BART based semantic correction for Mandarin automatic speech recognition system—0
Residual Energy-Based Models for End-to-End Speech Recognition—0
An Approach to Improve Robustness of NLP Systems against ASR Errors—0
Voice Privacy with Smart Digital Assistants in Educational Settings—0
Hallucination of speech recognition errors with sequence to sequence learning—0
SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition SystemsCode0
Contextual Biasing of Language Models for Speech Recognition in Goal-Oriented Conversational Agents—0
Transformer-based ASR Incorporating Time-reduction Layer and Fine-tuning with Self-Knowledge Distillation—0
EdgeCRNN: an edgecomputing oriented model of acoustic feature enhancement for keyword spotting—0
Dynamic Acoustic Unit Augmentation With BPE-Dropout for Low-Resource End-to-End Speech Recognition—0
A Distributed Optimisation Framework Combining Natural Gradient with Hessian-Free for Discriminative Sequence Training—0
Learning Word-Level Confidence For Subword End-to-End ASR—0
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