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Automatic Speech Recognition

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Showing 951–975 of 3174 papers

TitleStatusHype
Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models—0
Stateful Conformer with Cache-based Inference for Streaming Automatic Speech Recognition—0
The NUS-HLT System for ICASSP2024 ICMC-ASR Grand Challenge—0
Towards Probing Contact Center Large Language Models—0
Exploring data augmentation in bias mitigation against non-native-accented speech—0
Multimodal Attention Merging for Improved Speech Recognition and Audio Event Classification—0
BLSTM-Based Confidence Estimation for End-to-End Speech Recognition—0
Stable Distillation: Regularizing Continued Pre-training for Low-Resource Automatic Speech RecognitionCode0
Lattice Rescoring Based on Large Ensemble of Complementary Neural Language Models—0
Automated speech audiometry: Can it work using open-source pre-trained Kaldi-NL automatic speech recognition?—0
SpokesBiz -- an Open Corpus of Conversational Polish—0
Efficiency-oriented approaches for self-supervised speech representation learning—0
OAVA: the open audio-visual archives aggregator—0
Conformer-Based Speech Recognition On Extreme Edge-Computing Devices—0
Seq2seq for Automatic Paraphasia Detection in Aphasic SpeechCode0
LiteVSR: Efficient Visual Speech Recognition by Learning from Speech Representations of Unlabeled Data—0
Leveraging Language ID to Calculate Intermediate CTC Loss for Enhanced Code-Switching Speech Recognition—0
Generative Context-aware Fine-tuning of Self-supervised Speech Models—0
Audio-visual fine-tuning of audio-only ASR models—0
FastInject: Injecting Unpaired Text Data into CTC-based ASR training—0
PhasePerturbation: Speech Data Augmentation via Phase Perturbation for Automatic Speech Recognition—0
USM-Lite: Quantization and Sparsity Aware Fine-tuning for Speech Recognition with Universal Speech Models—0
Self-supervised Adaptive Pre-training of Multilingual Speech Models for Language and Dialect Identification—0
ROSE: A Recognition-Oriented Speech Enhancement Framework in Air Traffic Control Using Multi-Objective LearningCode0
Creating Spoken Dialog Systems in Ultra-Low Resourced Settings—0
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