Improving Detection of Alzheimer's Disease Using Automatic Speech Recognition to Identify High-Quality Segments for More Robust Feature Extraction.
Yilin PanBahman MirheidariMarkus ReuberAnnalena VenneriDaniel BlackburnHeidi ChristensenPublished in: INTERSPEECH (2020)
Keyphrases
- automatic speech recognition
- noisy environments
- feature extraction
- high quality
- speech recognition
- speech signal
- speech segments
- word error rate
- broadcast news
- face recognition
- speech retrieval
- conversational speech
- word recognition
- hidden markov models
- pattern recognition
- speaker identification
- spoken words
- noise reduction
- non stationary
- image classification
- feature vectors
- image processing
- computer vision
- question answering
- recognition errors
- feature selection