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Found 6 papers, 0 papers with code
Emphasizing Unseen Words: New Vocabulary Acquisition for End-to-End Speech Recognition
Furthermore, our proposed combined loss rescaling and weight consolidation methods can support continual learning of an ASR system.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
Disentangling Prosody Representations with Unsupervised Speech Reconstruction
Human speech can be characterized by different components, including semantic content, speaker identity and prosodic information.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
Improving Speech Emotion Recognition with Unsupervised Speaking Style Transfer
Once training is completed, EmoAug enriches expressions of emotional speech with different prosodic attributes, such as stress, rhythm and intensity, by feeding different styles into the paralinguistic encoder.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
A Multimodal German Dataset for Automatic Lip Reading Systems and Transfer Learning
Large datasets as required for deep learning of lip reading do not exist in many languages.
LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip Reading
The aim of this work is to investigate the impact of crossmodal self-supervised pre-training for speech reconstruction (video-to-audio) by leveraging the natural co-occurrence of audio and visual streams in videos.
Multimodal Target Speech Separation with Voice and Face References
Target speech separation refers to isolating target speech from a multi-speaker mixture signal by conditioning on auxiliary information about the target speaker.
Audio and Speech Processing Sound
