（IS 19）Low-Dimensional Bottleneck Features for On-Device Continuous Speech Recognition
會議：INTERSPEECH 2019 論文：Low-Dimensional Bottleneck Features for On-Device Continuous Speech Recognition 作者：David B. Ramsay, Kevin Kilgour, Dominik Roblek, Matthew Sharifi Abstract 低功耗數字信號處理器（DSP）通常具有非常
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相關文章
- 1. （IS 19）wav2vec: Unsupervised Pre-training for Speech Recognition
- 2. （IS 19）Binary Speech Features for Keyword Spotting Tasks Alexandre Riviello, Jean-Pierre David（重點）
- 3. 深度學習之Bottleneck Layer or Bottleneck Features
- 4. Language Identification with Deep Bottleneck Features
- 5. SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
- 6. Convolutional Neural Networks for Speech Recognition///2014
- 7. Interspeech 2017 Series | Acoustic Model for Speech Recognition Technology
- 8. X-VECTOR:ROBUST DNN EMBEDDING FOR SPEAKER RECOGNITION
- 9. Interspeech 2017 | Far-field Speech Recognition Technology
- 10. speech recognition resource