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Feature-Rich Audio Model Inversion for Data-Free Knowledge Distillation Towards General Sound Classification
Data-Free Knowledge Distillation (DFKD) has recently attracted growing attention in the academic community, especially with major …
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Feature-Rich Audio Model Inversion for Data-Free Knowledge Distillation Towards General Sound Classification
Cross-grained Contrastive Representation for Unsupervised Lesion Segmentation in Medical Images
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Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization
Text summarization is essential for information aggregation and demands large amounts of training data. However, concerns about data …
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SVLDL: Improved Speaker Age Estimation Using Selective Variance Label Distribution Learning
Estimating age from a single speech is a classic and challenging topic. Although Label Distribution Learning (LDL) can represent …
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SVLDL: Improved Speaker Age Estimation Using Selective Variance Label Distribution Learning
Adapitch: Adaption Multi-Speaker Text-to-Speech Conditioned on Pitch Disentangling with Untranscribed Data
In this paper, we proposed Adapitch, a multi-speaker TTS method that makes adaptation of the supervised module with untranscribed data. …
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Adapitch: Adaption Multi-Speaker Text-to-Speech Conditioned on Pitch Disentangling with Untranscribed Data
Improving Imbalanced Text Classification with Dynamic Curriculum Learning
Recent advances in pre-trained language models have improved the performance for text classification tasks. However, little attention …
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Improving Imbalanced Text Classification with Dynamic Curriculum Learning
Improving Speech Representation Learning via Speech-level and Phoneme-level Masking Approach
Recovering the masked speech frames is widely applied in speech representation learning. However, most of these models use random …
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Improving Speech Representation Learning via Speech-level and Phoneme-level Masking Approach
Linguistic-Enhanced Transformer with CTC Embedding for Speech Recognition
The recent emergence of joint CTC-Attention model shows significant improvement in automatic speech recognition (ASR). The improvement …
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Linguistic-Enhanced Transformer with CTC Embedding for Speech Recognition
MetaSpeech: Speech Effects Switch Along with Environment for Metaverse
Metaverse expands the physical world to a new dimension, and the physical environment and Metaverse environment can be directly …
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MetaSpeech: Speech Effects Switch Along with Environment for Metaverse
Semi-Supervised Learning Based on Reference Model for Low-resource TTS
Most previous neural text-to-speech (TTS) methods are mainly based on supervised learning methods, which means they depend on a large …
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Semi-Supervised Learning Based on Reference Model for Low-resource TTS