Structural processing methods for speech signal analysis

Abstract

Speech signal analysis is a crucial study that helps to develop methods for problems like phoneme segmentation speech recognition speaker verification etc There are various frameworks and techniques that support these problems Frameworks like Hidden Markov Modeling and Deep Learning are popular The frameworks are efficient with large data sets where intensive training is possible However this becomes challenging in case of underresourced language since sufficient data cannot be provided...