Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition.
Chao-Han Huck YangJun QiSamuel Yen-Chi ChenPin-Yu ChenSabato Marco SiniscalchiXiaoli MaChin-Hui LeePublished in: ICASSP (2021)
Keyphrases
- automatic speech recognition
- convolutional neural network
- feature extraction
- speech recognition
- face detection
- speech signal
- hidden markov models
- broadcast news
- conversational speech
- word error rate
- spoken words
- image processing
- face recognition
- recognition errors
- feature vectors
- speaker identification
- speech retrieval
- pattern recognition
- spontaneous speech
- neural network
- extracted features
- noisy environments
- feature selection
- word recognition
- image classification
- object detection
- feature set
- wavelet transform
- speech corpus
- language model
- acoustic features
- speech synthesis
- probabilistic model
- multiresolution
- speaker adaptation
- compound words
- feature space