On the importance of glottal flow spectral energy for the recognition of emotions in speech.
Ling HeMargaret LechNicholas B. AllenPublished in: INTERSPEECH (2010)
Keyphrases
- speech signal
- cepstral coefficients
- recognition engine
- automatic speech recognition systems
- speech sounds
- speech recognition
- spectral analysis
- linear prediction
- automatic speech recognition
- recognition accuracy
- recognition rate
- spectral features
- continuous speech recognition
- vocal tract
- pattern recognition
- emotional state
- noisy environments
- mel frequency cepstral coefficients
- digit recognition
- emotion recognition
- linear predictive coding
- speech corpus
- speaker independent
- affect recognition
- energy consumption
- speech recognition systems
- object recognition
- spoken words
- hidden markov models
- feature extraction
- automatic transcription
- cognitive processes
- recognition algorithm
- sensor networks
- speech recognizer
- gradient flow
- text recognition
- broadcast news
- handwriting recognition
- word recognition
- hyperspectral images
- non stationary
- energy minimization
- intelligent tutoring systems