Factorized Hidden Variability Learning For Adaptation Of Short Duration Language Identification Mode...
基于因子分解的隐层变量学习，应用于短语句语种识别模型的自适应 LFVs（Language Feature Vectors，语种特征向量）[11]，与BSVs（Bottleneck Speaker Vectors）类似，即瓶颈特征 3.1. 神经元调制 由于说话人特性的变化反映在语音信号中，因此将表示说话人适应声学特性的特征拼接到特征中。如VTLN或fMLLR，是直接对声学特征进行操
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相关文章
- 1. BN for Language Identification
- 2. Bidirectional Learning for Domain Adaptation of Semantic Segmentation详读
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- 4. CS224d: Deep Learning for Natural Language Process
- 5. Deep Learning for Nature Language Processing --- 第六讲
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- 10. Camera viewpoint learning for person re-identification