Computerized room acoustics modeling has been practiced for almost 50 years up to date.
These modeling techniques play an important role in room acoustic design nowadays, often …

Target speech separation refers to extracting a target speaker's voice from an overlapped
audio of simultaneous talkers. Previously the use of visual modality for target speech …

Abstract The Image Source Method (ISM) is one of the most employed techniques to
calculate acoustic Room Impulse Responses (RIRs), however, its computational complexity …

Recently, frequency domain all-neural beamforming methods have achieved remarkable
progress for multichannel speech separation. In parallel, the integration of time domain …

Provides state-of-the-art algorithms for sound capture, processing and enhancement Sound
Capture and Processing: Practical Approaches covers the digital signal processing …

In many research fields of engineering and acoustics, the image-source model represents
one of the most popular tools for the simulation of sound fields in virtual reverberant …

Speaker identification aims at determining the speaker identity by analyzing his voice
characteristics, and relies typically on statistical models or machine learning techniques …

Este livro aborda os princípios para a modelagem e caracterização da propagação do som
em ambientes, bem como os fundamentos para o desenvolvimento de projetos de recintos …

A reverberation-time-aware deep-neural-network (DNN)-based speech dereverberation
framework is proposed to handle a wide range of reverberation times. There are three key …

To date, mainstream target speech separation (TSS) approaches are formulated to estimate
the complex ratio mask (cRM) of target speech in time-frequency domain under supervised …