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Automatic Speech Recognition

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Showing 1001–1050 of 3174 papers

TitleStatusHype
Dynamic Acoustic Unit Augmentation With BPE-Dropout for Low-Resource End-to-End Speech Recognition—0
Dynamic ASR Pathways: An Adaptive Masking Approach Towards Efficient Pruning of A Multilingual ASR Model—0
Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization—0
Dynamic Data Pruning for Automatic Speech Recognition—0
Contribution \`a l'\'etude de la variabilit\'e de la voix des personnes \^ag\'ees en reconnaissance automatique de la parole (Contribution to the study of elderly people's voice variability in automatic speech recognition) [in French]—0
Dynamic Masking for Improved Stability in Spoken Language Translation—0
A Transfer Learning Method for Speech Emotion Recognition from Automatic Speech Recognition—0
Contrastive Semi-supervised Learning for ASR—0
Learning Video Representations using Contrastive Bidirectional Transformer—0
Alignment-Free Training for Transducer-based Multi-Talker ASR—0
EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition—0
E-Branchformer: Branchformer with Enhanced merging for speech recognition—0
Echo State Speech Recognition—0
Echotune: A Modular Extractor Leveraging the Variable-Length Nature of Speech in ASR Tasks—0
A Toolkit for Joint Speaker Diarization and Identification with Application to Speaker-Attributed ASR—0
Continuous Speech Recognition using EEG and Video—0
EdgeCRNN: an edgecomputing oriented model of acoustic feature enhancement for keyword spotting—0
EEG based Continuous Speech Recognition using Transformers—0
Continuous Pseudo-Labeling from the Start—0
Effective Decoder Masking for Transformer Based End-to-End Speech Recognition—0
Effectively pretraining a speech translation decoder with Machine Translation data—0
Alignment Entropy Regularization—0
A CTC Alignment-based Non-autoregressive Transformer for End-to-end Automatic Speech Recognition—0
A CLARIN Transcription Portal for Interview Data—0
LegoSLM: Connecting LLM with Speech Encoder using CTC Posteriors—0
Towards interfacing large language models with ASR systems using confidence measures and prompting—0
Improving OOV Detection and Resolution with External Language Models in Acoustic-to-Word ASR—0
Listening while Speaking and Visualizing: Improving ASR through Multimodal Chain—0
Continuous Modeling of the Denoising Process for Speech Enhancement Based on Deep Learning—0
Continuously Learning New Words in Automatic Speech Recognition—0
A Text-to-Speech Pipeline, Evaluation Methodology, and Initial Fine-Tuning Results for Child Speech Synthesis—0
Continuous Learning for Children's ASR: Overcoming Catastrophic Forgetting with Elastic Weight Consolidation and Synaptic Intelligence—0
Continued Pretraining for Domain Adaptation of Wav2vec2.0 in Automatic Speech Recognition for Elementary Math Classroom Settings—0
ATCSpeechNet: A multilingual end-to-end speech recognition framework for air traffic control systems—0
Aligning Speech to Languages to Enhance Code-switching Speech Recognition—0
An Adapter Based Pre-Training for Efficient and Scalable Self-Supervised Speech Representation Learning—0
Continual learning using lattice-free MMI for speech recognition—0
Continual Learning in Machine Speech Chain Using Gradient Episodic Memory—0
ATCSpeech: a multilingual pilot-controller speech corpus from real Air Traffic Control environment—0
Aligning Pre-trained Models for Spoken Language Translation—0
Continual Learning for On-Device Speech Recognition using Disentangled Conformers—0
ATC-ANNO: Semantic Annotation for Air Traffic Control with Assistive Auto-Annotation—0
Continual Learning for End-to-End ASR by Averaging Domain Experts—0
Contextual-Utterance Training for Automatic Speech Recognition—0
Aligner-Encoders: Self-Attention Transformers Can Be Self-Transducers—0
Contextual Speech Recognition with Difficult Negative Training Examples—0
Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems—0
Asynchronous Tool Usage for Real-Time Agents—0
Contextual RNN-T For Open Domain ASR—0
Contextual Language Model Adaptation for Conversational Agents—0
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