Phoneme Embeddings on Predicting Fundamental Frequency Pattern for Electrolaryngeal Speech.
Mohammad EshghiKazuhiro KobayashiKou TanakaHirokazu KameokaTomoki TodaPublished in: APSIPA (2020)
Keyphrases
- fundamental frequency
- speech signal
- speech recognition
- automatic speech recognition systems
- automatic speech recognition
- speech synthesis
- speech sounds
- pattern matching
- vocal tract
- hidden markov models
- noisy environments
- speaker identification
- pattern discovery
- speaker dependent
- phoneme recognition
- dimensionality reduction
- non stationary
- low dimensional
- speech recognition systems
- language model
- linear prediction
- high dimensional data
- speaker recognition
- distance measure