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Found 9 papers, 1 papers with code
Adversarial speech for voice privacy protection from Personalized Speech generation
For validation, we employ the open-source pre-trained YourTTS model for speech generation and protect the target speaker's speech in the white-box scenario.
Pre-training Language Model as a Multi-perspective Course Learner
Besides, two self-correction courses are proposed to bridge the chasm between the two encoders by creating a "correction notebook" for secondary-supervision.
Decoupled Pronunciation and Prosody Modeling in Meta-Learning-Based Multilingual Speech Synthesis
In our experiments, our proposed method effectively improved the intelligibility and naturalness of multilingual speech synthesis comparing with the baseline meta-learning synthesis method.
Speaker Adaption with Intuitive Prosodic Features for Statistical Parametric Speech Synthesis
In this paper, we propose a method of speaker adaption with intuitive prosodic features for statistical parametric speech synthesis.
Cognitive Diagnosis with Explicit Student Vector Estimation and Unsupervised Question Matrix Learning
Then, based on the estimated student vectors, the probabilistic part of DINA can be modified to a student dependent model that the slip and guess rates are related to student vectors.
Using multiple reference audios and style embedding constraints for speech synthesis
The end-to-end speech synthesis model can directly take an utterance as reference audio, and generate speech from the text with prosody and speaker characteristics similar to the reference audio.
SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning
Given a passage and the corresponding question, a participating system is expected to choose the correct answer from five candidates of abstract concepts in a cloze-style machine reading comprehension setup.
Text Classification by Contrastive Learning and Cross-lingual Data Augmentation for Alzheimer's Disease Detection
Finally, a best detection accuracy of 81. 6{\%} is obtained by our proposed methods on the Mandarin AD corpus.
Joint Intent Detection and Entity Linking on Spatial Domain Queries
Continuous efforts have been devoted to language understanding (LU) for conversational queries with the fast and wide-spread popularity of voice assistants.
