Deep Speaker: an End-to-End Neural Speaker Embedding System
——arXiv 2017 一、論文主要貢獻： 提出Deep Speaker系統（a neural speaker embedding system that maps utterances to a hypersphere where speaker similarity is measured by cosine similarity.） 二、評估實驗 （一）說明： （二）Deep Speake
相關文章
- 1. Deep Speaker筆記
- 2. Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification
- 3. X-VECTOR:ROBUST DNN EMBEDDING FOR SPEAKER RECOGNITION
- 4. 2019--Target Speaker Extraction for Multi-Talker Speaker Verification
- 5. speaker vector
- 6. x-vector：Deep Neural Network Embeddings for Text-Independent Speaker Verification
- 7. SPEAKER-AWARE SPEECH-TRANSFORMER
- 8. An Example of Azure Speaker Recognition API
- 9. [Speaker] Haoyuan Li, CEO, Alluxio
- 10. Demo - Speaker Recognition
- 更多相關文章...
- • XSLT system-property() 函數 - XSLT 教程
- • PHP wordwrap() 函數 - PHP參考手冊
- • RxJava操作符（一）Creating Observables
- • C# 中 foreach 遍歷的用法
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. Deep Speaker筆記
- 2. Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification
- 3. X-VECTOR:ROBUST DNN EMBEDDING FOR SPEAKER RECOGNITION
- 4. 2019--Target Speaker Extraction for Multi-Talker Speaker Verification
- 5. speaker vector
- 6. x-vector：Deep Neural Network Embeddings for Text-Independent Speaker Verification
- 7. SPEAKER-AWARE SPEECH-TRANSFORMER
- 8. An Example of Azure Speaker Recognition API
- 9. [Speaker] Haoyuan Li, CEO, Alluxio
- 10. Demo - Speaker Recognition