UaSpeech
Emerging35papers using it
2022first seen
The 'UaSpeech' dataset is a novel annotated real-world test set of Polish dysarthric speech, curated for evaluating automatic speech recognition (ASR) performance on both natural and synthetic dysarthric speech.
Papers using UaSpeech (35)
- An Attention Long Short-term Memory Based System For Automatic Classification Of Speech IntelligibilityOn Using The Ua-speech And TORGO Databases To Validate Automatic Dysarthric Speech Classification ApproachesOn Combining Acoustic And Modulation Spectrograms In An Attention Lstm-based System For Speech Intelligibility Level ClassificationSpectro-temporal Deep Features For Disordered Speech Assessment And RecognitionExploiting Cross Domain Acoustic-to-articulatory Inverted Features For Disordered Speech RecognitionVariational Auto-encoder Based Variability Encoding For Dysarthric Speech RecognitionTowards Inclusive ASR: Investigating Voice Conversion for Dysarthric Speech Recognition in Low-Resource LanguagesColm-dsr: Leveraging Neural Codec Language Modeling For Multi-modal Dysarthric Speech ReconstructionBridging the Reality Gap in ASR for Low-Resource Dysarthric Speech: Evaluating Performance on Synthetic and Real DataEnd-to-End Simultaneous Dysarthric Speech Reconstruction with Frame-Level Adaptor and Multiple Wait-k Knowledge DistillationTwo-Stage Adaptation for Non-Normative Speech Recognition: Revisiting Speaker-Independent Initialization for PersonalizationEnhancing Speaker-Independent Dysarthric Speech Severity Classification with DSSCNet and Cross-Corpus AdaptationDiffDSR: Dysarthric Speech Reconstruction Using Latent Diffusion ModelOn-the-fly Routing for Zero-shot MoE Speaker Adaptation of Speech Foundation Models for Dysarthric Speech RecognitionPhone-purity Guided Discrete Tokens for Dysarthric Speech RecognitionDuta-vc: A Duration-aware Typical-to-atypical Voice Conversion Approach With Diffusion Probabilistic ModelHyper-parameter Adaptation Of Conformer ASR Systems For Elderly And Dysarthric Speech RecognitionHomogeneous Speaker Features For On-the-fly Dysarthric And Elderly Speaker AdaptationStructured Speaker-deficiency Adaptation Of Foundation Models For Dysarthric And Elderly Speech RecognitionEnhancing Dysarthria Speech Feature Representation With Empirical Mode Decomposition And Walsh-hadamard TransformAdversarial Data Augmentation Using VAE-GAN for Disordered Speech
RecognitionOn using the UA-Speech and TORGO databases to validate automatic
dysarthric speech classification approachesDuTa-VC: A Duration-aware Typical-to-atypical Voice Conversion Approach
with Diffusion Probabilistic ModelEnhancing Pre-trained ASR System Fine-tuning for Dysarthric Speech
Recognition using Adversarial Data AugmentationCoLM-DSR: Leveraging Neural Codec Language Modeling for Multi-Modal
Dysarthric Speech ReconstructionSpeech Intelligibility Classifiers from 550k Disordered Speech SamplesUse of Speech Impairment Severity for Dysarthric Speech RecognitionHyper-parameter Adaptation of Conformer ASR Systems for Elderly and
Dysarthric Speech RecognitionTowards Automatic Data Augmentation for Disordered Speech RecognitionUNIT-DSR: Dysarthric Speech Reconstruction System Using Speech Unit
NormalizationHomogeneous Speaker Features for On-the-Fly Dysarthric and Elderly
Speaker AdaptationSelf-supervised ASR Models and Features For Dysarthric and Elderly
Speech RecognitionStructured Speaker-Deficiency Adaptation of Foundation Models for
Dysarthric and Elderly Speech RecognitionAn Attention Long Short-Term Memory based system for automatic
classification of speech intelligibilityOn combining acoustic and modulation spectrograms in an attention
LSTM-based system for speech intelligibility level classification