A Pilot Study on the Performance of Time-Domain Features in Speech Recognition based on high-density sEMG.
Xiaochen WangMingxing ZhuOluwarotimi Williams SamuelZijian YangLin LuXingxing CaiXin WangShixiong ChenGuanglin LiPublished in: EMBC (2021)
Keyphrases
- speech recognition
- pilot study
- high density
- speech recognition systems
- pattern recognition
- low density
- automatic speech recognition
- hidden markov models
- cepstral coefficients
- speech signal
- speech synthesis
- language model
- noisy environments
- feature set
- computer games
- speaker identification
- speech recognizer
- feature extraction
- speech recognition technology
- low cost
- feature vectors
- feature space
- thin film
- extracted features
- data center
- elementary school
- extracting features
- non stationary
- classification accuracy
- low level
- speaker diarization
- neural network