Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks

@inproceedings{Palaz2013EstimatingPC,
  title={Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks},
  author={Dimitri Palaz and Ronan Collobert and Mathew Magimai-Doss},
  booktitle={INTERSPEECH},
  year={2013}
}
In hybrid hidden Markov model/artificial neural networks (HMM/ANN) automatic speech recognition (ASR) system, the phoneme class conditional probabilities are estimated by first extracting acoustic features from the speech signal based on prior knowledge such as, speech perception or/and speech production knowledge, and, then modeling the acoustic features with an ANN. Recent advances in machine learning techniques, more specifically in the field of image processing and text processing, have… CONTINUE READING
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