Noisy Environment

Research on noisy environments focuses on improving the robustness of various systems to background noise and data corruption, aiming to maintain performance in real-world conditions. Current efforts concentrate on developing noise-robust algorithms and models, including those based on deep learning architectures like U-Nets, transformers, and convolutional neural networks, often incorporating techniques like speech enhancement, data augmentation, and multi-modal fusion. These advancements are crucial for applications ranging from speech recognition and speaker verification to robot navigation and machine translation, where reliable performance in noisy settings is paramount. The ultimate goal is to create systems that are not only accurate but also resilient to the unpredictable nature of real-world data.

Papers

December 10, 2023

Voice Activity Detection (VAD) in Noisy Environments
Joshua Ball
Audio Processing Noisy Environment Voice Activity Detection Ambient Sound

December 5, 2023

Integrating Plug-and-Play Data Priors with Weighted Prediction Error for Speech Dereverberation
Ziye Yang, Wenxing Yang, Kai Xie, Jie Chen
Plug and Play Speech Dereverberation Noisy Environment Prediction Error Late Reverberation

November 28, 2023

LC4SV: A Denoising Framework Learning to Compensate for Unseen Speaker Verification Models
Chi-Chang Lee, Hong-Wei Chen, Chu-Song Chen, Hsin-Min Wang, Tsung-Te Liu, Yu Tsao
Speech Enhancement Speaker Verification Denoising Process Noisy Environment Interpolation Learning Unseen Speaker

October 25, 2023

R$^3$ Prompting: Review, Rephrase and Resolve for Chain-of-Thought Reasoning in Large Language Models under Noisy Context
Qingyuan Tian, Hanlun Zhu, Lei Wang, Yang Li, Yunshi Lan
Complex Reasoning Chain of Thought Reasoning Task Reasoning ChAin Noisy Environment Answer Prediction

July 24, 2023

Code-Switched Urdu ASR for Noisy Telephonic Environment using Data Centric Approach with Hybrid HMM and CNN-TDNN
Muhammad Danyal Khan, Raheem Ali, Arshad Aziz
Automatic Speech Recognition Data Centric Speech Recognition System Noisy Environment Hybrid HMM DNN HMM Urdu Dataset

July 5, 2023

Self-supervised learning with diffusion-based multichannel speech enhancement for speaker verification under noisy conditions
Sandipana Dowerah, Ajinkya Kulkarni, Romain Serizel, Denis Jouvet
Self Supervised Speech Enhancement Speaker Verification Noisy Environment Ecapa TDNN Diffusion Based Speech Enhancement

June 22, 2023

NoisyILRMA: Diffuse-Noise-Aware Independent Low-Rank Matrix Analysis for Fast Blind Source Extraction
Koki Nishida, Norihiro Takamune, Rintaro Ikeshita, Daichi Kitamura, Hiroshi Saruwatari, Tomohiro Nakatani
Noisy Environment Independent Vector Independent Low Rank Matrix Analysis

June 6, 2023

CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments
Xiulong Liu, Sudipta Paul, Moitreya Chatterjee, Anoop Cherian
Noisy Environment Video Context Audio Visual Navigation Embodied Conversational Agent Audio Classification Benchmark

May 31, 2023

Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model
Héctor Martel, Julius Richter, Kai Li, Xiaolin Hu, Timo Gerkmann
Speech Separation Noisy Environment Lightweight Model Convolutional Recurrent Audio Visual Model Audio Visual Speech Separation

May 18, 2023

Data Augmentation for Diverse Voice Conversion in Noisy Environments
Avani Tanna, Michael Saxon, Amr El Abbadi, William Yang Wang
Data Augmentation Voice Conversion Noisy Environment Target Accent

May 8, 2023

Multi-legged matter transport: a framework for locomotion on noisy landscapes
Baxi Chong, Juntao He, Daniel Soto, Tianyu Wang, Daniel Irvine, Grigoriy Blekherman, Daniel I. Goldman
New Framework Legged Robot Human Like Locomotion Behavior Noisy Environment Agile Locomotion

March 12, 2023

Improving the Intent Classification accuracy in Noisy Environment
Mohamed Nabih Ali, Alessio Brutti, Daniele Falavigna
Automatic Speech Recognition Speech Enhancement Intent Classification Noisy Environment Intent Classifier

February 13, 2023

Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning
Bram Grooten, Ghada Sokar, Shibhansh Dohare, Elena Mocanu, Matthew E. Taylor, Mykola Pechenizkiy, Decebal Constantin Mocanu
Reinforcement Learning Deep Reinforcement Learning Noisy Environment Task Specific Feature Dynamic Sparse Training Deep Reinforcement Learning Algorithm

December 20, 2022

Walking Noise: On Layer-Specific Robustness of Neural Architectures against Noisy Computations and Associated Characteristic Learning Dynamics
Hendrik Borras, Bernhard Klein, Holger Fröning
Neural Architecture Learning Dynamic Noisy Environment Massart Noise Multiplicative Noise Noisy Student Training Noisy Computation

November 16, 2022

Speaker Adaptation for End-To-End Speech Recognition Systems in Noisy Environments
Dominik Wagner, Ilja Baumann, Sebastian P. Bayerl, Korbinian Riedhammer, Tobias Bocklet
Speaker Embeddings Speaker Adaptation Speaker Representation Noisy Environment Speech Recognition Model End to End Speech Recognition

November 12, 2022

Improving the Robustness of DistilHuBERT to Unseen Noisy Conditions via Data Augmentation, Curriculum Learning, and Multi-Task Enhancement
Heitor R. Guimarães, Arthur Pimentel, Anderson R. Avila, Mehdi Rezagholizadeh, Tiago H. Falk
Native Robustness Data Augmentation Robust Representation Self Supervised Speech Representation Noisy Environment Multi Task Fusion Edge Speech Application

November 7, 2022

Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments
Abhinav Joshi, Naman Gupta, Jinang Shah, Binod Bhattarai, Ashutosh Modi, Danail Stoyanov
Multimodal Information Multimodal Representation Hand Pose Estimation Noisy Environment Multimodal Representation Learning Surgical Video Segmentation Expert Aggregation

September 2, 2022

Cooperative coevolutionary Modified Differential Evolution with Distance-based Selection for Large-Scale Optimization Problems in noisy environments through an automatic Random Grouping
Rui Zhong, Masaharu Munetomo
Optimization Problem Differential Evolution Noisy Environment Large Scale Optimization Cooperative Coevolution Based Selection

August 27, 2022

Minimal Feature Analysis for Isolated Digit Recognition for varying encoding rates in noisy environments
Muskan Garg, Naveen Aggarwal
Speech Recognition Feature Extraction Hidden Markov Model Noisy Environment Rate Reduction Handwritten Digit Recognition

July 28, 2022

Deep Learning-Based Acoustic Mosquito Detection in Noisy Conditions Using Trainable Kernels and Augmentations
Devesh Khandelwal, Sean Campos, Shwetha Nagaraj, Fred Nugen, Alberto Todeschini
Deep Learning Model Soft Augmentation Noisy Environment Audio Signal Learned Kernel Mosquito Detection

Noisy Environment

Papers

Voice Activity Detection (VAD) in Noisy Environments

Integrating Plug-and-Play Data Priors with Weighted Prediction Error for Speech Dereverberation

LC4SV: A Denoising Framework Learning to Compensate for Unseen Speaker Verification Models

R$^3$ Prompting: Review, Rephrase and Resolve for Chain-of-Thought Reasoning in Large Language Models under Noisy Context

Code-Switched Urdu ASR for Noisy Telephonic Environment using Data Centric Approach with Hybrid HMM and CNN-TDNN

Self-supervised learning with diffusion-based multichannel speech enhancement for speaker verification under noisy conditions

NoisyILRMA: Diffuse-Noise-Aware Independent Low-Rank Matrix Analysis for Fast Blind Source Extraction

CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments

Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model

Data Augmentation for Diverse Voice Conversion in Noisy Environments

Multi-legged matter transport: a framework for locomotion on noisy landscapes

Improving the Intent Classification accuracy in Noisy Environment

Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning

Walking Noise: On Layer-Specific Robustness of Neural Architectures against Noisy Computations and Associated Characteristic Learning Dynamics

Speaker Adaptation for End-To-End Speech Recognition Systems in Noisy Environments

Improving the Robustness of DistilHuBERT to Unseen Noisy Conditions via Data Augmentation, Curriculum Learning, and Multi-Task Enhancement

Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments

Cooperative coevolutionary Modified Differential Evolution with Distance-based Selection for Large-Scale Optimization Problems in noisy environments through an automatic Random Grouping

Minimal Feature Analysis for Isolated Digit Recognition for varying encoding rates in noisy environments

Deep Learning-Based Acoustic Mosquito Detection in Noisy Conditions Using Trainable Kernels and Augmentations