activity
20122025
most citedTDOA Matrices: Algebraic Properties and their Application to Robust Denoising with Missing Data

54 citations · 190 across the 11 of their papers we have counts for

collaborators

11 papers

cs.AI2025

Enhancing Online Learning Efficiency Through Heterogeneous Resource Integration with a Multi-Agent RAG System

Devansh Srivastav, Hasan Md Tusfiqur Alam, Afsaneh Asaei +3

Efficient online learning requires seamless access to diverse resources such as videos, code repositories, documentation, and general web content. This poster paper introduces earl…

cs.SD2017

Information Theoretic Analysis of DNN-HMM Acoustic Modeling

Pranay Dighe, Afsaneh Asaei, Hervé Bourlard

We propose an information theoretic framework for quantitative assessment of acoustic modeling for hidden Markov model (HMM) based automatic speech recognition (ASR). Acoustic mode…

cs.CL2016★ 7 cited

Low-rank and Sparse Soft Targets to Learn Better DNN Acoustic Models

Pranay Dighe, Afsaneh Asaei, Herve Bourlard

Conventional deep neural networks (DNN) for speech acoustic modeling rely on Gaussian mixture models (GMM) and hidden Markov model (HMM) to obtain binary class labels as the target…

cs.SD2016★ 31 cited

Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding

Milos Cernak, Alexandros Lazaridis, Afsaneh Asaei +1

Most current very low bit rate (VLBR) speech coding systems use hidden Markov model (HMM) based speech recognition/synthesis techniques. This allows transmission of information (su…

cs.CL2016★ 24 cited

Exploiting Low-dimensional Structures to Enhance DNN Based Acoustic Modeling in Speech Recognition

Pranay Dighe, Gil Luyet, Afsaneh Asaei +1

We propose to model the acoustic space of deep neural network (DNN) class-conditional posterior probabilities as a union of low-dimensional subspaces. To that end, the training pos…

cs.CL2016★ 14 cited

On Structured Sparsity of Phonological Posteriors for Linguistic Parsing

Milos Cernak, Afsaneh Asaei, Hervé Bourlard

The speech signal conveys information on different time scales from short time scale or segmental, associated to phonological and phonetic information to long time scale or supra s…

cs.IT2016★ 54 cited

TDOA Matrices: Algebraic Properties and their Application to Robust Denoising with Missing Data

Jose Velasco, Daniel Pizarro, Javier Macias-Guarasa +1

Measuring the Time delay of Arrival (TDOA) between a set of sensors is the basic setup for many applications, such as localization or signal beamforming. This paper presents the se…

math.OC2015★ 2 cited

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Saeid Haghighatshoar, Mohammad J. Taghizadeh, Afsaneh Asaei

In this paper, we prove a new identity for the least-square solution of an over-determined set of linear equation , where is an full-rank matrix, is a col…

cs.SD2014★ 2 cited

Ad Hoc Microphone Array Calibration: Euclidean Distance Matrix Completion Algorithm and Theoretical Guarantees

Mohammad J. Taghizadeh, Reza Parhizkar, Philip N. Garner +2

This paper addresses the problem of ad hoc microphone array calibration where only partial information about the distances between microphones is available. We construct a matrix c…

cs.IT2013★ 51 cited

Convexity in source separation: Models, geometry, and algorithms

Michael B. McCoy, Volkan Cevher, Quoc Tran Dinh +2

Source separation or demixing is the process of extracting multiple components entangled within a signal. Contemporary signal processing presents a host of difficult source separat…

cs.LG2012★ 5 cited

Structured Sparsity Models for Multiparty Speech Recovery from Reverberant Recordings

Afsaneh Asaei, Mohammad Golbabaee, Hervé Bourlard +1

We tackle the multi-party speech recovery problem through modeling the acoustic of the reverberant chambers. Our approach exploits structured sparsity models to perform room modeli…