How Does End-To-End Speech Recognition Training Impact Speech Enhancement Artifacts?
Kazuma IwamotoTsubasa OchiaiMarc DelcroixRintaro IkeshitaHiroshi SatoShoko ArakiShigeru KatagiriPublished in: ICASSP (2024)
Keyphrases
- end to end
- speech recognition
- speech enhancement
- speech signal
- noisy environments
- noisy speech
- vocal tract
- speech synthesis
- hidden markov models
- spectral subtraction
- automatic speech recognition
- background noise
- language model
- speaker identification
- pattern recognition
- noise reduction
- linear prediction
- additive noise
- acoustic features
- spectral analysis
- neural network
- signal to noise ratio
- information retrieval