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Automatic Speech Recognition

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Showing 2076–2100 of 3174 papers

TitleStatusHype
Learning to Jointly Transcribe and Subtitle for End-to-End Spontaneous Speech Recognition—0
Learning to Recognize Code-switched Speech Without Forgetting Monolingual Speech Recognition—0
Learning When to Trust Which Teacher for Weakly Supervised ASR—0
Learning without Forgetting: Task Aware Multitask Learning for Multi-Modality Tasks—0
Learning Word-Level Confidence For Subword End-to-End ASR—0
Learning Word-Like Units from Joint Audio-Visual Analysis—0
Leave No Knowledge Behind During Knowledge Distillation: Towards Practical and Effective Knowledge Distillation for Code-Switching ASR Using Realistic Data—0
LegoNN: Building Modular Encoder-Decoder Models—0
Less Is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging—0
LESS: Large Language Model Enhanced Semi-Supervised Learning for Speech Foundational Models—0
Lessons Learned in ATCO2: 5000 hours of Air Traffic Control Communications for Robust Automatic Speech Recognition and Understanding—0
Leveraging Acoustic Contextual Representation by Audio-textual Cross-modal Learning for Conversational ASR—0
Leveraging Data Collection and Unsupervised Learning for Code-switched Tunisian Arabic Automatic Speech Recognition—0
Leveraging Domain Features for Detecting Adversarial Attacks Against Deep Speech Recognition in Noise—0
Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yoloxóchitl Mixtec—0
Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yol\'oxochitl Mixtec—0
Leveraging End-to-End Speech Recognition with Neural Architecture Search—0
Leveraging Language ID to Calculate Intermediate CTC Loss for Enhanced Code-Switching Speech Recognition—0
Leveraging Large Language Models for Exploiting ASR Uncertainty—0
Leveraging Large Text Corpora for End-to-End Speech Summarization—0
Harnessing Indirect Training Data for End-to-End Automatic Speech Translation: Tricks of the Trade—0
Leveraging Pre-trained Language Model for Speech Sentiment Analysis—0
Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection—0
Leveraging Redundancy in Multiple Audio Signals for Far-Field Speech Recognition—0
Leveraging supplementary text data to kick-start automatic speech recognition system development with limited transcriptions—0
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