Context-Sensitive Adapter: Contextual Biasing for Personalized End-to-End Speech Recognition with Attention Fusion and Bias Filtering.
Yineng CaiLixu SunYongchao LiNurmemet YolwasWushouer SilamuPublished in: ICIC (5) (2024)
Keyphrases
- context sensitive
- end to end
- speech recognition
- language model
- hidden markov models
- automatic speech recognition
- language modeling
- speech signal
- speech recognition systems
- speech recognizer
- speech synthesis
- noisy environments
- pattern recognition
- information retrieval
- n gram
- query expansion
- speaker identification
- retrieval model
- probabilistic model
- speaker independent
- query terms
- natural language processing
- training data
- e learning