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Automatic Speech Recognition

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Showing 1126–1150 of 3174 papers

TitleStatusHype
Complex-Valued Time-Frequency Self-Attention for Speech Dereverberation—0
ASR is all you need: cross-modal distillation for lip reading—0
A Hierarchical Reasoning Graph Neural Network for The Automatic Scoring of Answer Transcriptions in Video Job Interviews—0
Acoustic Model Optimization over Multiple Data Sources: Merging and Valuation—0
Accent-Robust Automatic Speech Recognition Using Supervised and Unsupervised Wav2vec Embeddings—0
Improving noisy student training for low-resource languages in End-to-End ASR using CycleGAN and inter-domain losses—0
Comparison of Soft and Hard Target RNN-T Distillation for Large-scale ASR—0
Comparison of Self-Supervised Speech Pre-Training Methods on Flemish Dutch—0
ASR in German: A Detailed Error Analysis—0
Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR—0
Comparison of Grapheme-to-Phoneme Conversion Methods on a Myanmar Pronunciation Dictionary—0
ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding—0
A Hierarchical Context-aware Modeling Approach for Multi-aspect and Multi-granular Pronunciation Assessment—0
Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures—0
ASR for Non-standardised Languages with Dialectal Variation: the case of Swiss German—0
Comparing Discrete and Continuous Space LLMs for Speech Recognition—0
ASR-FAIRBENCH: Measuring and Benchmarking Equity Across Speech Recognition Systems—0
A Hardware-Oriented and Memory-Efficient Method for CTC Decoding—0
Acoustic Model Optimization Based On Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition—0
Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model—0
Comparing Apples to Oranges: LLM-powered Multimodal Intention Prediction in an Object Categorization Task—0
ASR error management for improving spoken language understanding—0
Comparative Analysis of the wav2vec 2.0 Feature Extractor—0
Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks—0
ASR Error Detection via Audio-Transcript entailment—0
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