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Automatic Speech Recognition

Papers

Showing 21012125 of 3174 papers

TitleStatusHype
Innovative Bert-based Reranking Language Models for Speech Recognition0
NeMo Inverse Text Normalization: From Development To ProductionCode0
Non-autoregressive Transformer-based End-to-end ASR using BERT0
Accented Speech Recognition Inspired by Human Perception0
On Architectures and Training for Raw Waveform Feature Extraction in ASR0
RNN Transducer Models For Spoken Language UnderstandingCode1
Exploring Machine Speech Chain for Domain Adaptation and Few-Shot Speaker Adaptation0
WNARS: WFST based Non-autoregressive Streaming End-to-End Speech Recognition0
BSTC: A Large-Scale Chinese-English Speech Translation Dataset0
Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems0
Speak or Chat with Me: End-to-End Spoken Language Understanding System with Flexible InputsCode1
Pushing the Limits of Non-Autoregressive Speech Recognition0
Capturing Multi-Resolution Context by Dilated Self-Attention0
Relaxing the Conditional Independence Assumption of CTC-based ASR by Conditioning on Intermediate Predictions0
Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models0
Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model0
Dissecting User-Perceived Latency of On-Device E2E Speech Recognition0
LT-LM: a novel non-autoregressive language model for single-shot lattice rescoringCode0
Flexi-Transducer: Optimizing Latency, Accuracy and Compute forMulti-Domain On-Device Scenarios0
Speaker conditioned acoustic modeling for multi-speaker conversational ASR0
End-to-End Speaker-Attributed ASR with Transformer0
Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding0
Citrinet: Closing the Gap between Non-Autoregressive and Autoregressive End-to-End Models for Automatic Speech Recognition0
Talk, Don't Write: A Study of Direct Speech-Based Image Retrieval0
Towards Lifelong Learning of End-to-end ASR0
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