Publication

Structured Sparse Acoustic Modeling for Speech Separation

Hervé Bourlard
2013
Conference Papers

Abstract

A novel formulation of acoustic multipath is proposed for estimation of the room acoustic using recordings of unknown concurrent speech sources at unknown locations. The framework exploits sparsity and low-rank structures characterized by the Image method for estimation of the geometry and the absorption factors of the reflective surfaces. The experiments conducted on real data recordings demonstrate the effectiveness of the method for modeling the room acoustic and its application for speech separation and dereverberation.

Official source

https://infoscience.epfl.ch/entities/publication/132ca65e-fe87-4b94-aecd-8c90f68fefd5

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Hervé Bourlard
2013
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/132ca65e-fe87-4b94-aecd-8c90f68fefd5

About this result

Related concepts (31)

Simultaneous localization and mapping

Simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it. While this initially appears to be a chicken or the egg problem, there are several algorithms known to solve it in, at least approximately, tractable time for certain environments. Popular approximate solution methods include the particle filter, extended Kalman filter, covariance intersection, and GraphSLAM.

Room acoustics

Room acoustics is a subfield of acoustics dealing with the behaviour of sound in enclosed or partially-enclosed spaces. The architectural details of a room influences the behaviour of sound waves within it, with the effects varying by frequency. Acoustic reflection, diffraction, and diffusion can combine to create audible phenomena such as room modes and standing waves at specific frequencies and locations, echos, and unique reverberation patterns.

Image segmentation

In and computer vision, image segmentation is the process of partitioning a into multiple image segments, also known as image regions or image objects (sets of pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain characteristics.

Related publications (1)

Structured Sparse Acoustic Modeling for Speech Separation

Chat with Graph Search

Multi-Layer Background Subtraction Based on Color and Texture