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Automatic Speech Recognition

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Showing 826–850 of 3174 papers

TitleStatusHype
CoSTA: Code-Switched Speech Translation using Aligned Speech-Text Interleaving—0
CTC Variations Through New WFST Topologies—0
Cumulative Adaptation for BLSTM Acoustic Models—0
CUNI Neural ASR with Phoneme-Level Intermediate Step for -Native at IWSLT 2020—0
Customizing Speech Recognition Model with Large Language Model Feedback—0
COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning—0
Cycle-Consistent GAN Front-End to Improve ASR Robustness to Perturbed Speech—0
Attentive Adversarial Learning for Domain-Invariant Training—0
All-neural beamformer for continuous speech separation—0
Correlation Distance Skip Connection Denoising Autoencoder (CDSK-DAE) for Speech Feature Enhancement—0
DANCER: Entity Description Augmented Named Entity Corrector for Automatic Speech Recognition—0
Correlated Bigram LSA for Unsupervised Language Model Adaptation—0
Data Augmentation for End-to-end Code-switching Speech Recognition—0
Data Augmentation for End-to-End Speech Translation: FBK@IWSLT ‘19—0
Data Augmentation for Low-Resource Quechua ASR Improvement—0
Data Augmentation for Training Dialog Models Robust to Speech Recognition Errors—0
Data Augmentation Methods for End-to-end Speech Recognition on Distant-Talk Scenarios—0
Attention Enhanced Citrinet for Speech Recognition—0
Data Augmentation with Locally-time Reversed Speech for Automatic Speech Recognition—0
Improving Speech Emotion Recognition with Unsupervised Speaking Style Transfer—0
Data-Driven Mispronunciation Pattern Discovery for Robust Speech Recognition—0
Data-Driven Pronunciation Modeling of Swiss German Dialectal Speech for Automatic Speech Recognition—0
Data Efficient Direct Speech-to-Text Translation with Modality Agnostic Meta-Learning—0
Correction of Automatic Speech Recognition with Transformer Sequence-to-sequence Model—0
Correction Focused Language Model Training for Speech Recognition—0
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