Open-source toolkit for end-to-end Korean speech recognition.
Soohwan KimSeyoung BaeCheolhwang WonPublished in: Softw. Impacts (2021)
Keyphrases
- end to end
- speech recognition
- open source
- hidden markov models
- congestion control
- language model
- speech processing
- automatic speech recognition
- speech synthesis
- speech signal
- speech recognizer
- speech recognition technology
- pattern recognition
- noisy environments
- speech recognition systems
- isolated word
- speaker identification
- speaker dependent
- speaker independent
- feature extraction
- computer vision