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Automatic Speech Recognition

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Showing 601–625 of 3174 papers

TitleStatusHype
The OCON model: an old but green solution for distributable supervised classification for acoustic monitoring in smart cities—0
The OCON model: an old but gold solution for distributable supervised classificationCode0
Team MTS @ AutoMin 2021: An Overview of Existing Summarization Approaches and Comparison to Unsupervised Summarization Techniques—0
Self-Powered LLM Modality Expansion for Large Speech-Text ModelsCode0
Convolutional Variational Autoencoders for Spectrogram Compression in Automatic Speech Recognition—0
Algorithms For Automatic Accentuation And Transcription Of Russian Texts In Speech Recognition Systems—0
Spoken Grammar Assessment Using LLM—0
Automatic Speech Recognition for the Ika Language—0
End-to-End Speech Recognition with Pre-trained Masked Language Model—0
Alignment-Free Training for Transducer-based Multi-Talker ASR—0
AfriHuBERT: A self-supervised speech representation model for African languagesCode0
Predictive Speech Recognition and End-of-Utterance Detection Towards Spoken Dialog Systems—0
Fine-Tuning Automatic Speech Recognition for People with Parkinson's: An Effective Strategy for Enhancing Speech Technology Accessibility—0
Efficient Long-Form Speech Recognition for General Speech In-Context Learning—0
Improving Multilingual ASR in the Wild Using Simple N-best Re-ranking—0
Speech-Mamba: Long-Context Speech Recognition with Selective State Spaces Models—0
A GEN AI Framework for Medical Note Generation—0
Are Transformers in Pre-trained LM A Good ASR Encoder? An Empirical Study—0
Deep CLAS: Deep Contextual Listen, Attend and Spell—0
Unveiling the Role of Pretraining in Direct Speech Translation—0
Weighted Cross-entropy for Low-Resource Languages in Multilingual Speech RecognitionCode0
Speech Recognition Rescoring with Large Speech-Text Foundation Models—0
Semi-Supervised Cognitive State Classification from Speech with Multi-View Pseudo-LabelingCode0
How to Connect Speech Foundation Models and Large Language Models? What Matters and What Does Not—0
MT2KD: Towards A General-Purpose Encoder for Speech, Speaker, and Audio Events—0
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