Using Anomaly Detection for Fine Tuning of Formal Prosodic Structures in Speech Synthesis.
Martin MaturaMarkéta JuzováPublished in: TSD (2018)
Keyphrases
- anomaly detection
- speech synthesis
- fine tuning
- prosodic features
- speech recognition
- text to speech
- intrusion detection
- detecting anomalies
- vocal tract
- network intrusion detection
- network traffic
- unsupervised anomaly detection
- behavior analysis
- anomalous behavior
- fine tuned
- computer security
- one class support vector machines
- network anomaly detection
- intrusion detection system
- detecting anomalous
- language model
- hidden markov models
- negative selection algorithm
- network security
- pattern recognition
- unsupervised learning
- dimensionality reduction
- probabilistic model
- connectionist systems
- active learning