Acoustic-phonetic and artificial neural network feature analysis to assess speech quality of stop consonants produced by patients treated for oral or oropharyngeal cancer.
Marieke de BruijnLouis ten BoschDirk J. KuikBirgit I. WitteJohannes A. LangendijkC. René LeemansIrma Verdonck-de LeeuwPublished in: Speech Commun. (2012)
Keyphrases
- feature analysis
- artificial neural networks
- speech signal
- speech quality
- speech sounds
- cancer patients
- speech recognition
- colorectal cancer
- early diagnosis
- emotional speech
- feature extraction
- face recognition
- neural network
- breast cancer
- automatic speech recognition
- packet loss
- hidden markov models
- lung cancer
- sound source
- background noise
- prostate cancer
- spectral analysis
- independent component analysis
- dimension reduction
- image data