Event Based Time-Vectors for auditory features extraction: a neuromorphic approach for low power audio recognition.
Marco RasettoJuan Pedro Dominguez-MoralesAngel Jiménez-FernandezRyad BenosmanPublished in: CoRR (2021)
Keyphrases
- low power
- features extraction
- high speed
- low cost
- power consumption
- feature extraction
- signal processing
- cross modal
- visual information
- character recognition
- automatic classification
- single chip
- low power consumption
- high power
- wavelet transform
- feature vectors
- digital signal processing
- logic circuits
- vlsi architecture
- environmental sounds
- mixed signal
- vlsi circuits
- image sensor
- object recognition
- ultra low power
- license plate
- real time
- computer vision
- visual speech
- extracted features