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Automatic Speech Recognition

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Showing 1251–1300 of 3174 papers

TitleStatusHype
Enhancing ASR for Stuttered Speech with Limited Data Using Detect and Pass—0
Blending LSTMs into CNNs—0
Failing Forward: Improving Generative Error Correction for ASR with Synthetic Data and Retrieval Augmentation—0
FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition—0
FairLENS: Assessing Fairness in Law Enforcement Speech Recognition—0
Fairness of Automatic Speech Recognition in Cleft Lip and Palate Speech—0
Falling silent, lost for words ... Tracing personal involvement in interviews with Dutch war veterans—0
Capitalization and Punctuation Restoration: a Survey—0
Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging—0
Fast and Accurate OOV Decoder on High-Level Features—0
Fast and Robust Unsupervised Contextual Biasing for Speech Recognition—0
Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition—0
A Noise-Robust Self-supervised Pre-training Model Based Speech Representation Learning for Automatic Speech Recognition—0
Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition—0
FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition—0
FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition—0
Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning—0
Cascaded CNN-resBiLSTM-CTC: An End-to-End Acoustic Model For Speech Recognition—0
Fast Entropy-Based Methods of Word-Level Confidence Estimation for End-To-End Automatic Speech Recognition—0
FastInject: Injecting Unpaired Text Data into CTC-based ASR training—0
Enhancing AAC Software for Dysarthric Speakers in e-Health Settings: An Evaluation Using TORGO—0
Fast offline Transformer-based end-to-end automatic speech recognition for real-world applications—0
Fast Real-time Personalized Speech Enhancement: End-to-End Enhancement Network (E3Net) and Knowledge Distillation—0
Enhancements in statistical spoken language translation by de-normalization of ASR results—0
Fast Streaming Transducer ASR Prototyping via Knowledge Distillation with Whisper—0
Blending LLMs into Cascaded Speech Translation: KIT's Offline Speech Translation System for IWSLT 2024—0
Fast Word Error Rate Estimation Using Self-Supervised Representations for Speech and Text—0
Enhancement and Recognition of Reverberant and Noisy Speech by Extending Its Coherence—0
Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization—0
Annotated Speech Corpus for Low Resource Indian Languages: Awadhi, Bhojpuri, Braj and Magahi—0
Feature selection using Fisher's ratio technique for automatic speech recognition—0
Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers and Gradient Clipping—0
Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentation—0
Federated Representation Learning for Automatic Speech Recognition—0
Federated Self-Learning with Weak Supervision for Speech Recognition—0
Causal Analysis of ASR Errors for Children: Quantifying the Impact of Physiological, Cognitive, and Extrinsic Factors—0
Enhanced CORILGA: Introducing the Automatic Phonetic Alignment Tool for Continuous Speech—0
Fewer Hallucinations, More Verification: A Three-Stage LLM-Based Framework for ASR Error Correction—0
Blank-regularized CTC for Frame Skipping in Neural Transducer—0
Filter and evolve: progressive pseudo label refining for semi-supervised automatic speech recognition—0
FinAudio: A Benchmark for Audio Large Language Models in Financial Applications—0
Findings of the 2024 Mandarin Stuttering Event Detection and Automatic Speech Recognition Challenge—0
Findings of the Shared Task on Speech Recognition for Vulnerable Individuals in Tamil—0
Finding Task-specific Subnetworks in Multi-task Spoken Language Understanding Model—0
Chain of Correction for Full-text Speech Recognition with Large Language Models—0
Fine-Tuning Automatic Speech Recognition for People with Parkinson's: An Effective Strategy for Enhancing Speech Technology Accessibility—0
Fine-tuning convergence model in Bengali speech recognition—0
Fine-tuning pre-trained models for Automatic Speech Recognition, experiments on a fieldwork corpus of Japhug (Trans-Himalayan family)—0
Challenges and Opportunities in Multi-device Speech Processing—0
An Investigative Study of Multi-Modal Cross-Lingual Retrieval—0
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