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Automatic Speech Recognition

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Showing 2551–2575 of 3174 papers

TitleStatusHype
Residual Language Model for End-to-end Speech Recognition—0
Resilience of Large Language Models for Noisy Instructions—0
Resolving Transcription Ambiguity in Spanish: A Hybrid Acoustic-Lexical System for Punctuation Restoration—0
Resource aware design of a deep convolutional-recurrent neural network for speech recognition through audio-visual sensor fusion—0
Resource-Efficient Adaptation of Speech Foundation Models for Multi-Speaker ASR—0
Resource-Efficient Transfer Learning From Speech Foundation Model Using Hierarchical Feature Fusion—0
Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language Understanding—0
Rethinking Processing Distortions: Disentangling the Impact of Speech Enhancement Errors on Speech Recognition Performance—0
Retraining-free Customized ASR for Enharmonic Words Based on a Named-Entity-Aware Model and Phoneme Similarity Estimation—0
Retrieval Augmented Correction of Named Entity Speech Recognition Errors—0
Retrieval-Enhanced Few-Shot Prompting for Speech Event Extraction—0
Retrieve and Copy: Scaling ASR Personalization to Large Catalogs—0
Revisiting Acoustic Features for Robust ASR—0
Revisiting the Boundary between ASR and NLU in the Age of Conversational Dialog Systems—0
r-G2P: Evaluating and Enhancing Robustness of Grapheme to Phoneme Conversion by Controlled noise introducing and Contextual information incorporation—0
RIR-SF: Room Impulse Response Based Spatial Feature for Target Speech Recognition in Multi-Channel Multi-Speaker Scenarios—0
RNN-T For Latency Controlled ASR With Improved Beam Search—0
RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions—0
Roadmap towards Superhuman Speech Understanding using Large Language Models—0
ROAR: Reinforcing Original to Augmented Data Ratio Dynamics for Wav2Vec2.0 Based ASR—0
Robust Acoustic and Semantic Contextual Biasing in Neural Transducers for Speech Recognition—0
Robust ASR Error Correction with Conservative Data Filtering—0
Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training—0
Robust fine-tuning of speech recognition models via model merging: application to disordered speech—0
Robustifying automatic speech recognition by extracting slowly varying features—0
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