The Use of Machine Learning and Phonetic Endophenotypes to Discover Genetic Variants Associated with Speech Sound Disorder.
Jason LilleyErin CrowgeyH. Timothy BunnellPublished in: INTERSPEECH (2018)
Keyphrases
- machine learning
- speech recognition
- speech processing
- spoken term detection
- pattern recognition
- speech recognizer
- speech sounds
- speech signal
- knowledge acquisition
- speech synthesis
- automatic speech recognition
- natural language processing
- decision trees
- machine learning methods
- emotional speech
- spoken document retrieval
- explanation based learning
- feature selection
- acoustic features
- active learning
- data mining
- text classification
- computer vision
- linkage analysis
- acoustic models
- speaker independent
- recognition engine
- data analysis
- genetic algorithm
- spoken language
- supervised learning
- text mining
- computational intelligence
- machine learning algorithms
- hidden markov models
- support vector machine
- computer science
- vocal tract
- machine learning approaches
- speech recognition systems
- audio visual
- reinforcement learning
- artificial intelligence
- automatic speech recognition systems