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Accurate synthesis of Dysarthric Speech for ASR data augmentation
To evaluate the effectiveness for synthesis of training data for ASR, dysarthria-specific speech recognition was used.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Synthesizing Dysarthric Speech Using Multi-talker TTS for Dysarthric Speech Recognition
Dysarthria is a motor speech disorder often characterized by reduced speech intelligibility through slow, uncoordinated control of speech production muscles.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Full Attention Bidirectional Deep Learning Structure for Single Channel Speech Enhancement
As the cornerstone of other important technologies, such as speech recognition and speech synthesis, speech enhancement is a critical area in audio signal processing.
Articulatory-WaveNet: Autoregressive Model For Acoustic-to-Articulatory Inversion
This paper presents Articulatory-WaveNet, a new approach for acoustic-to-articulator inversion.
Comparison of Multiple Features and Modeling Methods for Text-dependent Speaker Verification
Additionally, we also find that even though bottleneck features perform well for text-independent speaker verification, they do not outperform MFCCs on the most challenging Imposter-Correct trials on RedDots.
