Gammatonegram representation for end-to-end dysarthric speech processing tasks: speech recognition, speaker identification, and intelligibility assessment.
Aref FarhadipourHadi VeisiPublished in: Iran J. Comput. Sci. (2024)
Keyphrases
- speech recognition
- end to end
- speech processing
- speaker identification
- speech signal
- hidden markov models
- noisy environments
- language identification
- language model
- automatic speech recognition
- pattern recognition
- speaker dependent
- gaussian mixture model
- speaker independent
- signal processing
- feature extraction
- computer vision
- machine learning