Estimating phoneme class conditional probabilities from raw speech signal using convolutional neural networks
Estimating phoneme class conditional probabilities from raw speech signal using convolutional neural networks
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 …