Co-whitening of i-vectors for short and long duration speaker verification用於短期和長期說話者驗證的i向量的共同白化
Co-whitening of i-vectors for short and long duration speaker verification論文翻譯 用於短期和長期說話者驗證的i向量的共同白化 摘要 I-vector是語音話語的固定長度和低等級表示。它已廣泛用於與文本無關的說話人驗證。理想情況下，來自同一說話者的語音話語將映射到唯一的i-vectors。但是，由於某些內在和外在因素，例
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相關文章
- 1. Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification
- 2. icassp2020--TEXT-INDEPENDENT SPEAKER VERIFICATION WITH ADVERSARIAL LEARNING ON SHORT UTTERANCES
- 3. 2019--Target Speaker Extraction for Multi-Talker Speaker Verification
- 4. LSTM（long short-time memory，長的短期記憶網絡）
- 5. Factorized Hidden Variability Learning For Adaptation Of Short Duration Language Identification Mode...
- 6. LSTM(Long short-Term Memory)長短期記憶網
- 7. （KWS-LSTM）Max-pooling loss training of long short-term memory networks for small-footprint KWS
- 8. 短期的Beta還是長期的Alpha？
- 9. 2018ins--Wavelet Analysis of Speaker Dependent and Independent Prosody for Voice Conversion
- 10. 理解長短期記憶（Long Short Term Memory, LSTM）模型（colah 原文翻譯）