A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition.
Zhiyun LuDong GuoAlireza Bagheri GarakaniKuan LiuAvner MayAurélien BelletLinxi FanMichael CollinsBrian KingsburyMichael PichenyFei ShaPublished in: CoRR (2016)
Keyphrases
- speech recognition
- neural nets
- acoustic models
- speech recognizer
- speaker independent
- feed forward
- hidden markov models
- back propagation
- automatic speech recognition
- speech signal
- neural network
- language model
- pattern recognition
- noisy environments
- speech recognition systems
- speaker identification
- learning tasks
- kernel methods
- multi modal
- artificial neural networks
- feature space
- kernel function
- computer vision
- support vector