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Automatic Speech Recognition

Papers

Showing 501525 of 3174 papers

TitleStatusHype
PI-Whisper: Designing an Adaptive and Incremental Automatic Speech Recognition System for Edge Devices0
Perception of Phonological Assimilation by Neural Speech Recognition Models0
An Adapter-Based Unified Model for Multiple Spoken Language Processing Tasks0
Intelligent Interface: Enhancing Lecture Engagement with Didactic Activity Summaries0
Joint vs Sequential Speaker-Role Detection and Automatic Speech Recognition for Air-traffic Control0
ManWav: The First Manchu ASR Model0
Performant ASR Models for Medical Entities in Accented Speech0
Transcribe, Align and Segment: Creating speech datasets for low-resource languages0
Unsupervised Online Continual Learning for Automatic Speech RecognitionCode0
Finding Task-specific Subnetworks in Multi-task Spoken Language Understanding Model0
Growing Trees on Sounds: Assessing Strategies for End-to-End Dependency Parsing of SpeechCode0
Automatic Speech Recognition for Biomedical Data in Bengali Language0
Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy SpeechCode1
Large Language Models for Dysfluency Detection in Stuttered Speech0
CoSTA: Code-Switched Speech Translation using Aligned Speech-Text Interleaving0
Imperceptible Rhythm Backdoor Attacks: Exploring Rhythm Transformation for Embedding Undetectable Vulnerabilities on Speech Recognition0
Optimized Speculative Sampling for GPU Hardware AcceleratorsCode0
ROAR: Reinforcing Original to Augmented Data Ratio Dynamics for Wav2Vec2.0 Based ASR0
Optimizing Byte-level Representation for End-to-end ASR0
Learning Language Structures through Grounding0
Inclusive ASR for Disfluent Speech: Cascaded Large-Scale Self-Supervised Learning with Targeted Fine-Tuning and Data Augmentation0
An efficient text augmentation approach for contextualized Mandarin speech recognition0
Multi-Channel Multi-Speaker ASR Using Target Speaker's Solo Segment0
Multi-Modal Retrieval For Large Language Model Based Speech Recognition0
Transcription-Free Fine-Tuning of Speech Separation Models for Noisy and Reverberant Multi-Speaker Automatic Speech Recognition0
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