Depression Classification Using n-Gram Speech Errors from Manual and Automatic Stroop Color Test Transcripts.
Brian StasakZhaocheng HuangJulien EppsDale JoachimPublished in: EMBC (2021)
Keyphrases
- n gram
- speech transcripts
- text classification
- question answering
- language model
- automatically generated
- classification accuracy
- bag of words
- broadcast news
- speech music discrimination
- speech recognition
- language modelling
- semi automatic
- labor intensive
- automatic speech recognition
- language independent
- language modeling
- finite state transducers
- decision trees
- feature selection
- machine learning
- inside outside algorithm
- variable length
- text categorization
- training set
- natural language
- speech signal
- naive bayes
- part of speech
- text classifiers
- bit rate
- viterbi algorithm
- hidden markov models
- feature vectors
- spontaneous speech
- statistical language modeling
- search engine
- artificial intelligence