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View article: Speaker Identity Preservation in Dysarthric Speech Reconstruction by Adversarial Speaker Adaptation
Speaker Identity Preservation in Dysarthric Speech Reconstruction by Adversarial Speaker Adaptation Open
Dysarthric speech reconstruction (DSR), which aims to improve the quality of dysarthric speech, remains a challenge, not only because we need to restore the speech to be normal, but also must preserve the speaker's identity. The speaker re…
View article: Improved End-to-End Dysarthric Speech Recognition via Meta-learning Based Model Re-initialization
Improved End-to-End Dysarthric Speech Recognition via Meta-learning Based Model Re-initialization Open
Dysarthric speech recognition is a challenging task as dysarthric data is limited and its acoustics deviate significantly from normal speech. Model-based speaker adaptation is a promising method by using the limited dysarthric speech to fi…
View article: Learning Explicit Prosody Models and Deep Speaker Embeddings for Atypical Voice Conversion
Learning Explicit Prosody Models and Deep Speaker Embeddings for Atypical Voice Conversion Open
Though significant progress has been made for the voice conversion (VC) of typical speech, VC for atypical speech, e.g., dysarthric and second-language (L2) speech, remains a challenge, since it involves correcting for atypical prosody whi…
View article: Explicit Prosodic Modelling and Deep Speaker Embedding Learning for Non-standard Voice Conversion
Explicit Prosodic Modelling and Deep Speaker Embedding Learning for Non-standard Voice Conversion Open
Though significant progress has been made for the voice conversion (VC) of standard speech, VC for non-standard speech, e.g., dysarthric and second-language (L2) speech, remains a challenge, since it involves correcting for atypical prosod…