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Automatic Speech Recognition

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Showing 1851–1900 of 3174 papers

TitleStatusHype
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering—0
Transliterated Zero-Shot Domain Adaptation for Automatic Speech Recognition—0
TranUSR: Phoneme-to-word Transcoder Based Unified Speech Representation Learning for Cross-lingual Speech Recognition—0
Tree-constrained Pointer Generator for End-to-end Contextual Speech Recognition—0
Tree-constrained Pointer Generator with Graph Neural Network Encodings for Contextual Speech Recognition—0
Tropical Modeling of Weighted Transducer Algorithms on Graphs—0
TRScore: A Novel GPT-based Readability Scorer for ASR Segmentation and Punctuation model evaluation and selection—0
Trustera: A Live Conversation Redaction System—0
t-SOT FNT: Streaming Multi-talker ASR with Text-only Domain Adaptation Capability—0
TTS Skins: Speaker Conversion via ASR—0
TUKE-BNews-SK: Slovak Broadcast News Corpus Construction and Evaluation—0
Tutorial Proposal: End-to-End Speech Translation—0
Two Front-Ends, One Model : Fusing Heterogeneous Speech Features for Low Resource ASR with Multilingual Pre-Training—0
Two-pass Decoding and Cross-adaptation Based System Combination of End-to-end Conformer and Hybrid TDNN ASR Systems—0
Two-Stage Augmentation and Adaptive CTC Fusion for Improved Robustness of Multi-Stream End-to-End ASR—0
Two-Staged Acoustic Modeling Adaption for Robust Speech Recognition by the Example of German Oral History Interviews—0
A Multi-level Acoustic Feature Extraction Framework for Transformer Based End-to-End Speech Recognition—0
U2++ MoE: Scaling 4.7x parameters with minimal impact on RTF—0
UCorrect: An Unsupervised Framework for Automatic Speech Recognition Error Correction—0
UFO2: A unified pre-training framework for online and offline speech recognition—0
UME: Upcycling Mixture-of-Experts for Scalable and Efficient Automatic Speech Recognition—0
UML: A Universal Monolingual Output Layer for Multilingual ASR—0
Understanding Semantics from Speech Through Pre-training—0
Understanding Shared Speech-Text Representations—0
Understanding the Role of Self Attention for Efficient Speech Recognition—0
Understanding Zero-shot Rare Word Recognition Improvements Through LLM Integration—0
UniEnc-CASSNAT: An Encoder-only Non-autoregressive ASR for Speech SSL Models—0
Unified Autoregressive Modeling for Joint End-to-End Multi-Talker Overlapped Speech Recognition and Speaker Attribute Estimation—0
Unified End-to-End Speech Recognition and Endpointing for Fast and Efficient Speech Systems—0
Unified Modeling of Multi-Domain Multi-Device ASR Systems—0
Unified Modeling of Multi-Talker Overlapped Speech Recognition and Diarization with a Sidecar Separator—0
Unified Semi-Supervised Pipeline for Automatic Speech Recognition—0
Unifying Streaming and Non-streaming Zipformer-based ASR—0
Unintended Memorization in Large ASR Models, and How to Mitigate It—0
Universal-2-TF: Robust All-Neural Text Formatting for ASR—0
Universal Adversarial Perturbations for Speech Recognition Systems—0
Dual-mode ASR: Unify and Improve Streaming ASR with Full-context Modeling—0
Universal Speaker Embedding Free Target Speaker Extraction and Personal Voice Activity Detection—0
UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions—0
Unmanned Aerial Vehicle Control Through Domain-based Automatic Speech Recognition—0
Unsupervised Active Learning: Optimizing Labeling Cost-Effectiveness for Automatic Speech Recognition—0
Unsupervised Adaptation with Domain Separation Networks for Robust Speech Recognition—0
Unsupervised Adaptation with Interpretable Disentangled Representations for Distant Conversational Speech Recognition—0
Unsupervised and Efficient Vocabulary Expansion for Recurrent Neural Network Language Models in ASR—0
Unsupervised ASR via Cross-Lingual Pseudo-Labeling—0
Unsupervised Automatic Speech Recognition: A Review—0
Unsupervised Cross-Domain Singing Voice Conversion—0
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces—0
Unsupervised data selection for Speech Recognition with contrastive loss ratios—0
Unsupervised Data Selection via Discrete Speech Representation for ASR—0
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