Abstract: Broadly speaking, the present techniques generally relate to a system, computer-implemented method and apparatus for training a machine learning, ML, model to perform sound enhancement for a target user in real-time, and to a method and apparatus for using the trained ML model to perform sound enhancement of audio signals in real-time. Advantageously, the present techniques are suitable for implementation on resource-constrained devices that capture audio signals, such as smartphones and Internet of Things devices.

Abstract: A method, performed by an electronic device, of generating a speech signal corresponding to at least one text is provided. The method includes obtaining feature information with respect to a first sample included in the speech signal, based on the at least one text, obtaining condition information related to a condition under which a bunching operation, in which one or more sample values included in the speech signal are obtained, is performed, based on the feature information, configuring one or more bunching blocks for performing the bunching operation, based on the condition information, obtaining the one or more sample values based on the feature information with respect to the first sample by using the one or more bunching blocks, and generating the speech signal based on the obtained one or more sample values.