Efficiency of End-to-End Speech Recognition for Languages with Scarce Resources.
Vytautas RudzionisUgnius MalukasAudrius LopataPublished in: ICIST (2022)
Keyphrases
- end to end
- speech recognition
- scarce resources
- hidden markov models
- speech synthesis
- speech recognition technology
- language model
- speech processing
- speech recognizer
- automatic speech recognition
- speech signal
- pattern recognition
- speech recognition systems
- ad hoc networks
- congestion control
- speech retrieval
- speaker identification
- resource availability
- noisy environments
- speaker independent
- speech recognizers
- resource allocation
- computational complexity
- speaker adaptation
- video sequences
- multimedia
- image processing
- machine learning