VCO-based Feature Extraction Architecture for Low Power Speech Recognition Applications.
Eric GutierrezCarlos PerezFernando HernandezLuis HernándezPublished in: MWSCAS (2019)
Keyphrases
- speech recognition
- low power
- vlsi architecture
- feature extraction
- power consumption
- low cost
- high speed
- pattern recognition
- cepstral coefficients
- cmos technology
- speech processing
- speaker identification
- mixed signal
- language model
- automatic speech recognition
- nm technology
- hidden markov models
- speech synthesis
- speech signal
- speech recognition technology
- speech recognizer
- single chip
- noisy environments
- logic circuits
- speech recognition systems
- real time
- speaker independent
- low power consumption
- speech recognizers
- image sensor
- data flow
- gate array
- ultra low power
- mel frequency cepstral coefficients
- power dissipation
- wavelet transform
- feature space
- face recognition
- feature selection
- neural network
- feature set
- speaker adaptation
- image processing