Combining a vector space representation of linguistic context with a deep neural network for text-to-speech synthesis.
Heng LuSimon KingOliver WattsPublished in: SSW (2013)
Keyphrases
- vector space
- neural network
- text to speech synthesis
- distance measure
- euclidean space
- latent semantic indexing
- vector space model
- retrieval model
- low dimensional
- pattern recognition
- feature vectors
- natural language processing
- similarity search
- document representation
- information retrieval
- database
- finite dimensional
- databases