Personalization of End-to-End Speech Recognition on Mobile Devices for Named Entities.
Khe Chai SimLeif JohnsonGiovanni MottaLillian ZhouFrançoise BeaufaysArnaud BenardDhruv GulianiAndreas KabelNikhil KhareTamar LucassenPetr ZadrazilHarry ZhangPublished in: ASRU (2019)
Keyphrases
- end to end
- speech recognition
- named entities
- mobile devices
- context aware
- information extraction
- named entity recognition
- co occurrence
- natural language processing
- language model
- text mining
- hidden markov models
- relation extraction
- question answering
- mobile learning
- speech signal
- automatic speech recognition
- pattern recognition
- text documents
- unsupervised learning
- speech recognition systems
- conditional random fields
- reinforcement learning
- machine learning
- neural network