Almost Unsupervised Text to Speech and Automatic Speech Recognition
Abstract: 無監督方法，只需要利用幾百對文本—語音對和額外的無標籤的數據，提供給TTS和ASR components: 1.a denosising auto-encoder 2. 雙機制訓練；TTS是把text y轉成語音x，ASR把利用x和y進行訓練，反之亦然 3. 雙向序列建模，主要解決長語音序列和文本序列在訓練過程中出現的錯誤傳播問題 4.一個unified model 包含 TT
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相關文章
- 1. Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody
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- 4. Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
- 5. SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
- 6. Azure Cognitive Services- Speech To Text
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- 8. Food Log with Speech Recognition and NLP
- 9. FastSpeech: Fast, Robust and Controllable Text to Speech
- 10. （IS 19）wav2vec: Unsupervised Pre-training for Speech Recognition