Towards efficient end-to-end speech recognition with biologically-inspired neural networks.
Thomas BohnstinglAyush GargStanislaw WozniakGeorge SaonEvangelos EleftheriouAngeliki PantaziPublished in: CoRR (2021)
Keyphrases
- end to end
- speech recognition
- biologically inspired
- neural network
- pattern recognition
- hidden markov models
- speech processing
- language model
- speech recognizer
- speech synthesis
- learning rules
- automatic speech recognition
- speech recognition technology
- speech signal
- spiking neural networks
- speaker identification
- biologically plausible
- congestion control
- speaker independent
- computer vision
- noisy environments
- artificial neural networks
- humanoid robot
- visual features
- speech recognition systems
- motion estimation
- isolated word