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Automatic Speech Recognition

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Showing 2101–2150 of 3174 papers

TitleStatusHype
Innovative Bert-based Reranking Language Models for Speech Recognition—0
NeMo Inverse Text Normalization: From Development To ProductionCode0
Non-autoregressive Transformer-based End-to-end ASR using BERT—0
Accented Speech Recognition Inspired by Human Perception—0
On Architectures and Training for Raw Waveform Feature Extraction in ASR—0
RNN Transducer Models For Spoken Language UnderstandingCode1
Exploring Machine Speech Chain for Domain Adaptation and Few-Shot Speaker Adaptation—0
WNARS: WFST based Non-autoregressive Streaming End-to-End Speech Recognition—0
BSTC: A Large-Scale Chinese-English Speech Translation Dataset—0
Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems—0
Speak or Chat with Me: End-to-End Spoken Language Understanding System with Flexible InputsCode1
Pushing the Limits of Non-Autoregressive Speech Recognition—0
Capturing Multi-Resolution Context by Dilated Self-Attention—0
Relaxing the Conditional Independence Assumption of CTC-based ASR by Conditioning on Intermediate Predictions—0
Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models—0
Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model—0
Dissecting User-Perceived Latency of On-Device E2E Speech Recognition—0
LT-LM: a novel non-autoregressive language model for single-shot lattice rescoringCode0
Flexi-Transducer: Optimizing Latency, Accuracy and Compute forMulti-Domain On-Device Scenarios—0
Speaker conditioned acoustic modeling for multi-speaker conversational ASR—0
End-to-End Speaker-Attributed ASR with Transformer—0
Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding—0
Citrinet: Closing the Gap between Non-Autoregressive and Autoregressive End-to-End Models for Automatic Speech Recognition—0
Talk, Don't Write: A Study of Direct Speech-Based Image Retrieval—0
Towards Lifelong Learning of End-to-end ASR—0
On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASRCode0
ExKaldi-RT: A Real-Time Automatic Speech Recognition Extension Toolkit of KaldiCode1
Adversarial Joint Training with Self-Attention Mechanism for Robust End-to-End Speech Recognition—0
Context-sensitive evaluation of automatic speech recognition: considering user experience & language variation—0
Dialect Identification through Adversarial Learning and Knowledge Distillation on Romanian BERT—0
Tutorial Proposal: End-to-End Speech Translation—0
Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yol\'oxochitl Mixtec—0
Configurable Privacy-Preserving Automatic Speech Recognition—0
Multi-Encoder Learning and Stream Fusion for Transformer-Based End-to-End Automatic Speech Recognition—0
Integer-only Zero-shot Quantization for Efficient Speech RecognitionCode1
Large-Scale Pre-Training of End-to-End Multi-Talker ASR for Meeting Transcription with Single Distant Microphone—0
Adversarial Attacks and Defenses for Speech Recognition Systems—0
Multiple-hypothesis CTC-based semi-supervised adaptation of end-to-end speech recognition—0
Quantifying Bias in Automatic Speech RecognitionCode0
BART based semantic correction for Mandarin automatic speech recognition system—0
Construction of a Large-scale Japanese ASR Corpus on TV Recordings—0
Mutually-Constrained Monotonic Multihead Attention for Online ASR—0
Leveraging pre-trained representations to improve access to untranscribed speech from endangered languagesCode1
Radically Old Way of Computing Spectra: Applications in End-to-End ASRCode1
Residual Energy-Based Models for End-to-End Speech Recognition—0
An Approach to Improve Robustness of NLP Systems against ASR Errors—0
Voice Privacy with Smart Digital Assistants in Educational Settings—0
Hallucination of speech recognition errors with sequence to sequence learning—0
SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition SystemsCode0
Contextual Biasing of Language Models for Speech Recognition in Goal-Oriented Conversational Agents—0
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