《Autoencoder-based Semi-Supervised Curriculum Learning For Out-of-domain Speaker Verification》电子版地址

简介: Autoencoder-based Semi-Supervised Curriculum Learning For Out-of-domain Speaker Verification

《Autoencoder-based Semi-Supervised Curriculum Learning For Out-of-domain Speaker Verification》Autoencoder-based Semi-Supervised Curriculum Learning For Out-of-domain Speaker Verification

电子书:

屏幕快照 2022-06-17 上午9.58.35.png

                
            </div>
目录
相关文章
|
5月前
|
存储 算法 计算机视觉
【博士每天一篇文献-模型】Meta-Learning Based Tasks Similarity Representation for Cross Domain Lifelong Learning
本文提出了一种基于元学习的跨域终身学习框架,通过跨域三元组网络(CDTN)学习任务间的相似性表示,并结合自注意模块与软注意网络(SAN)来增强特征提取和任务权重分配,以提高学习效率并减少对先前知识的遗忘。
52 1
【博士每天一篇文献-模型】Meta-Learning Based Tasks Similarity Representation for Cross Domain Lifelong Learning
|
5月前
|
移动开发 算法 数据挖掘
【博士每天一篇文献-算法】Extending stability through hierarchical clusters in Echo State Networks
本文研究了在回声状态网络(ESN)中引入分层聚类结构对网络稳定性的影响,发现通过调整簇内和簇间的连接性及每个簇的主干单元数量,可以扩展谱半径的稳定范围,从而提高网络的稳定性和性能。
42 2
|
5月前
|
机器学习/深度学习 PyTorch 算法框架/工具
【文献学习】Phase-Aware Speech Enhancement with Deep Complex U-Net
文章介绍了Deep Complex U-Net模型,用于复数值的语音增强,提出了新的极坐标掩码方法和wSDR损失函数,并通过多种评估指标验证了其性能。
67 1
|
机器学习/深度学习 编解码 数据可视化
Speech Emotion Recognition With Local-Global aware Deep Representation Learning论文解读
语音情感识别(SER)通过从语音信号中推断人的情绪和情感状态,在改善人与机器之间的交互方面发挥着至关重要的作用。尽管最近的工作主要集中于从手工制作的特征中挖掘时空信息,但我们探索如何从动态时间尺度中建模语音情绪的时间模式。
161 0
|
机器学习/深度学习 算法 数据挖掘
A Generative Adversarial Network-based Deep Learning Method for Low-quality Defect ImageReconstructi
本文提出了一种基于生成对抗网络 (GAN) 的 DL 方法,用于低质量缺陷图像识别。 GAN用于重建低质量缺陷图像,并建立VGG16网络识别重建图像。
161 0
|
机器学习/深度学习 算法 数据挖掘
【多标签文本分类】Improved Neural Network-based Multi-label Classification with Better Initialization ……
【多标签文本分类】Improved Neural Network-based Multi-label Classification with Better Initialization ……
142 0
【多标签文本分类】Improved Neural Network-based Multi-label Classification with Better Initialization ……
|
机器学习/深度学习 边缘计算 人工智能
Re0:读论文 PPNP/APPNP Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Re0:读论文 PPNP/APPNP Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Re0:读论文 PPNP/APPNP Predict then Propagate: Graph Neural Networks meet Personalized PageRank
《Multi-Task Multi-Network Joint-Learning of Deep Residual Networks and Cycle-Consistency Generative Adversarial Networks for Robust Speech Recognition》电子版地址
Multi-Task Multi-Network Joint-Learning of Deep Residual Networks and Cycle-Consistency Generative Adversarial Networks for Robust Speech Recognition
110 0
《Multi-Task Multi-Network Joint-Learning of Deep Residual Networks and Cycle-Consistency Generative Adversarial Networks for Robust Speech Recognition》电子版地址
《Investigation of Transformer based Spelling Correction Model for CTC-based End-to-End Mandarin Speech Recognition》电子版地址
Investigation of Transformer based Spelling Correction Model for CTC-based End-to-End Mandarin Speech Recognition
102 0
《Investigation of Transformer based Spelling Correction Model for CTC-based End-to-End Mandarin Speech Recognition》电子版地址
|
机器学习/深度学习 自然语言处理 PyTorch
Re6:读论文 LeSICiN: A Heterogeneous Graph-based Approach for Automatic Legal Statute Identification fro
Re6:读论文 LeSICiN: A Heterogeneous Graph-based Approach for Automatic Legal Statute Identification fro
Re6:读论文 LeSICiN: A Heterogeneous Graph-based Approach for Automatic Legal Statute Identification fro

热门文章

最新文章