End-to-End Neural Based Modification of Noisy Speech for Speech-in-Noise Intelligibility Improvement.
P. V. Muhammed ShifasCatalin ZorilaYannis StylianouPublished in: IEEE ACM Trans. Audio Speech Lang. Process. (2022)
Keyphrases
- end to end
- noisy speech
- speech recognition
- signal to noise ratio
- speech enhancement
- speech signal
- spectral subtraction
- hidden markov models
- automatic speech recognition systems
- noisy environments
- background noise
- noise reduction
- language model
- speech synthesis
- network architecture
- automatic speech recognition
- speaker identification
- neural network
- linear prediction
- congestion control
- pattern recognition
- edge detection
- additive noise
- wiener filter
- text localization and recognition
- speaker recognition
- visual quality
- multiresolution
- computer vision