Robustness of LSTM neural networks for the enhancement of spectral parameters in noisy speech signals

Lignende værker

• Reconstructing fundamental frequency from noisy speech using initialized autoencoders
  af: Zeledón Córdoba, Marisol
  Udgivet: (2020)
• Assessing the robustness of recurrent neural networks to enhance the spectrum of reverberated speech
  af: Paniagua Peñaranda, Carolina
  Udgivet: (2020)
• Auto-Associative Initialization of LSTM Neural Networks for Fundamental Frequency Detection in Noisy Speech Signals
  af: Coto Jiménez, Marvin
  Udgivet: (2018)
• A performance evaluation of several artificial neural networks for mapping speech spectrum parameters
  af: Yeom Song, Victor
  Udgivet: (2020)
• An experimental study on fundamental frequency detection in reverberated speech with pre-trained recurrent neural networks
  af: Alfaro Picado, Andrei Fabian
  Udgivet: (2020)