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Automatic Speech Recognition

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Showing 1926–1950 of 3174 papers

TitleStatusHype
Fusing ASR Outputs in Joint Training for Speech Emotion Recognition—0
Improving Noise Robustness of Contrastive Speech Representation Learning with Speech Reconstruction—0
Asynchronous Decentralized Distributed Training of Acoustic Models—0
Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition—0
One model to enhance them all: array geometry agnostic multi-channel personalized speech enhancement—0
An Investigation of Enhancing CTC Model for Triggered Attention-based Streaming ASR—0
Speech Pattern based Black-box Model Watermarking for Automatic Speech Recognition—0
AequeVox: Automated Fairness Testing of Speech Recognition SystemsCode0
ViraPart: A Text Refinement Framework for Automatic Speech Recognition and Natural Language Processing Tasks in Persian—0
Efficient Sequence Training of Attention Models using Approximative Recombination—0
Automatic Learning of Subword Dependent Model Scales—0
Intent Classification Using Pre-trained Language Agnostic Embeddings For Low Resource Languages—0
A Unified Speaker Adaptation Approach for ASRCode0
Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR via Supernet—0
Multilingual Speech Recognition using Knowledge Transfer across Learning Processes—0
Sub-word Level Lip Reading With Visual Attention—0
Identifying Introductions in Podcast Episodes from Automatically Generated Transcripts—0
All-neural beamformer for continuous speech separation—0
Continual learning using lattice-free MMI for speech recognition—0
Prompt-tuning in ASR systems for efficient domain-adaptation—0
Word Order Does Not Matter For Speech Recognition—0
Improving Character Error Rate Is Not Equal to Having Clean Speech: Speech Enhancement for ASR Systems with Black-box Acoustic Models—0
A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation—0
SRU++: Pioneering Fast Recurrence with Attention for Speech Recognition—0
Wav2vec-Switch: Contrastive Learning from Original-noisy Speech Pairs for Robust Speech Recognition—0
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