Multilayered convolutional neural network-based auto-CODEC for audio signal denoising using mel-frequency cepstral coefficients.
Shivangi RajPrakasam PeriasamyShubham GuptaPublished in: Neural Comput. Appl. (2021)
Keyphrases
- audio signal
- denoising
- speaker identification
- mel frequency cepstral coefficients
- cepstral coefficients
- audio features
- speech recognition
- neural network
- speaker recognition
- image denoising
- noisy images
- wavelet domain
- image processing
- gaussian mixture model
- frequency domain
- speech signal
- discrete wavelet transform
- noisy environments
- natural images
- music information retrieval
- audio visual
- broadcast news
- acoustic features
- video coding
- motion estimation
- compressed domain
- feature extraction
- feature set
- visual features
- low level
- bitstream
- high level
- extracted features
- text data
- pattern recognition