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Automatic Speech Recognition

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Showing 2301–2325 of 3174 papers

TitleStatusHype
100,000 Podcasts: A Spoken English Document Corpus—0
ASR for Non-standardised Languages with Dialectal Variation: the case of Swiss German—0
On-Device detection of sentence completion for voice assistants with low-memory footprint—0
Transformer-Transducers for Code-Switched Speech Recognition—0
Improving accuracy of rare words for RNN-Transducer through unigram shallow fusion—0
Unsupervised Domain Adaptation for Speech Recognition via Uncertainty Driven Self-Training—0
Bootstrap an end-to-end ASR system by multilingual training, transfer learning, text-to-text mapping and synthetic audio—0
Adam^+: A Stochastic Method with Adaptive Variance Reduction—0
Multi-task Language Modeling for Improving Speech Recognition of Rare Words—0
Using Synthetic Audio to Improve The Recognition of Out-Of-Vocabulary Words in End-To-End ASR Systems—0
Improving RNN-T ASR Accuracy Using Context Audio—0
WPD++: An Improved Neural Beamformer for Simultaneous Speech Separation and DereverberationCode0
Cascade RNN-Transducer: Syllable Based Streaming On-device Mandarin Speech Recognition with a Syllable-to-Character Converter—0
Refining Automatic Speech Recognition System for older adults—0
Audio-visual Multi-channel Integration and Recognition of Overlapped Speech—0
Deep Shallow Fusion for RNN-T Personalization—0
Improving Speech Enhancement Performance by Leveraging Contextual Broad Phonetic Class Information—0
Self-supervised reinforcement learning for speaker localisation with the iCub humanoid robot—0
Simultaneous Speech-to-Speech Translation System with Neural Incremental ASR, MT, and TTS—0
Personalized Query Rewriting in Conversational AI Agents—0
Benchmarking LF-MMI, CTC and RNN-T Criteria for Streaming ASR—0
Gated Recurrent Fusion with Joint Training Framework for Robust End-to-End Speech Recognition—0
On the Usefulness of Self-Attention for Automatic Speech Recognition with Transformers—0
Stochastic Attention Head Removal: A simple and effective method for improving Transformer Based ASR ModelsCode0
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages—0
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