Convolutional Dropout and Wordpiece Augmentation for End-to-End Speech Recognition.
Hainan XuYinghui HuangYun ZhuKartik AudhkhasiBhuvana RamabhadranPublished in: ICASSP (2021)
Keyphrases
- end to end
- speech recognition
- hidden markov models
- automatic speech recognition
- language model
- speech synthesis
- speech processing
- speech signal
- pattern recognition
- speech recognizer
- speech recognition systems
- speaker identification
- congestion control
- speech recognizers
- speaker dependent
- speech recognition technology
- isolated word
- noisy environments
- speaker independent
- speech retrieval
- network architecture
- real world
- computer vision