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PulmoListener

https://doi.org/10.1145/3610889
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-29897-5_22openalex-snapshot
InstantRR: Instantaneous Respiratory Rate Estimation on Context-Aware Mobile Devices
inferredcites →https://doi.org/10.1016/j.asoc.2017.09.027openalex-snapshot
Real-time human activity recognition from accelerometer data using Convolutional Neural Networks
inferredcites →https://doi.org/10.1016/j.chest.2021.07.1920openalex-snapshot
VOICE-BASED MONITORING OF COPD
inferredcites →https://doi.org/10.1016/j.cognition.2022.105037openalex-snapshot
Overrated gaps: Inter-speaker gaps provide limited information about the timing of turns in conversation
inferredcites →https://doi.org/10.1089/tmj.2017.0008openalex-snapshot
Predicting Pulmonary Function from Phone Sensors
inferredcites →https://doi.org/10.1097/00008483-200207000-00004openalex-snapshot
Global Initiative for Chronic Obstructive Lung Disease
inferredcites →https://doi.org/10.1109/access.2022.3223444openalex-snapshot
Mel Frequency Cepstral Coefficient and its Applications: A Review
inferredcites →https://doi.org/10.1109/bsn.2019.8771043openalex-snapshot
Assessment of Chronic Pulmonary Disease Patients Using Biomarkers from Natural Speech Recorded by Mobile Devices
inferredcites →https://doi.org/10.1109/bsn.2019.8771072openalex-snapshot
mLung: Privacy-Preserving Naturally Windowed Lung Activity Detection for Pulmonary Patients
inferredcites →https://doi.org/10.1109/dspa48919.2020openalex-snapshot
2020 22th International Conference on Digital Signal Processing and its Applications (DSPA)
inferredcites →https://doi.org/10.1109/embc.2018.8513516openalex-snapshot
SpiroConfidence: Determining the Validity of Smartphone Based Spirometry Using Machine Learning
inferredcites →https://doi.org/10.1109/embc44109.2020.9175597openalex-snapshot
CoughGAN: Generating Synthetic Coughs that Improve Respiratory Disease Classification
inferredcites →https://doi.org/10.1109/embc44109.2020.9175986openalex-snapshot
Estimation of the Lung Function Using Acoustic Features of the Voluntary Cough
inferredcites →https://doi.org/10.1109/embc46164.2021.9629949openalex-snapshot
Remote COPD Severity and Exacerbation Detection Using Heart Rate and Activity Data Measured from a Wearable Device
inferredcites →https://doi.org/10.1109/icassp.2004.1326145openalex-snapshot
Noise robust speech recognition with a switching linear dynamic model
inferredcites →https://doi.org/10.1109/icassp.2015.7178964openalex-snapshot
Librispeech: An ASR corpus based on public domain audio books
inferredcites →https://doi.org/10.1109/icassp.2017.7953222openalex-snapshot
ICA based single microphone Blind Speech Separation technique using non-linear estimation of speech
inferredcites →https://doi.org/10.1109/icassp.2019.8683887openalex-snapshot
Towards Disease-specific Speech Markers for Differential Diagnosis in Parkinsonism
inferredcites →https://doi.org/10.1109/icassp39728.2021.9414576openalex-snapshot
Exploring Automatic COVID-19 Diagnosis via Voice and Symptoms from Crowdsourced Data
inferredcites →https://doi.org/10.1109/icassp39728.2021.9414881openalex-snapshot
Coughwatch: Real-World Cough Detection using Smartwatches
inferredcites →https://doi.org/10.1109/icassp43922.2022.9746471openalex-snapshot
Fusion of Modulation Spectral and Spectral Features with Symptom Metadata for Improved Speech-Based Covid-19 Detection
inferredcites →https://doi.org/10.1109/icassp43922.2022.9747785openalex-snapshot
Detection of COPD Exacerbation from Speech: Comparison of Acoustic Features and Deep Learning Based Speech Breathing Models
inferredcites →https://doi.org/10.1109/icassp49357.2023.10097190openalex-snapshot
High-Resolution Embedding Extractor for Speaker Diarisation
inferredcites →https://doi.org/10.1109/icraie.2016.7939548openalex-snapshot
A statistical analysis on the impact of noise on MFCC features for speech recognition
inferredcites →https://doi.org/10.1109/icspcs.2010.5709770openalex-snapshot
Preference for 20-40 ms window duration in speech analysis
inferredcites →https://doi.org/10.1109/percom.2015.7146519openalex-snapshot
WiBreathe: Estimating respiration rate using wireless signals in natural settings in the home
inferredcites →https://doi.org/10.1109/percom45495.2020.9127355openalex-snapshot
ExhaleSense: Detecting High Fidelity Forced Exhalations to Estimate Lung Obstruction on Smartphones
inferredcites →https://doi.org/10.1109/percom45495.2020.9127380openalex-snapshot
Towards Passive Assessment of Pulmonary Function from Natural Speech Recorded Using a Mobile Phone
inferredcites →https://doi.org/10.1109/percomworkshops53856.2022.9767283openalex-snapshot
Unobtrusive Monitoring of COPD Patients using Speech Collected from Smartwatches in the Wild
inferredcites →https://doi.org/10.1136/thoraxjnl-2011-200768openalex-snapshot
Time course and pattern of COPD exacerbation onset
inferredcites →https://doi.org/10.1136/thoraxjnl-2011-201518openalex-snapshot
Long-term natural history of chronic obstructive pulmonary disease: severe exacerbations and mortality
inferredcites →https://doi.org/10.1136/thx.2010.139881openalex-snapshot
An update on contraindications for lung function testing
inferredcites →https://doi.org/10.1145/1873951.1874246openalex-snapshot
Opensmile
inferredcites →https://doi.org/10.1145/2370216.2370261openalex-snapshot
SpiroSmart
inferredcites →https://doi.org/10.1145/2733373.2806390openalex-snapshot
ESC
inferredcites →https://doi.org/10.1145/2858036.2858401openalex-snapshot
SpiroCall
inferredcites →https://doi.org/10.1145/3313831.3376444openalex-snapshot
Assessing Severity of Pulmonary Obstruction from Respiration Phase-Based Wheeze-Sensing Using Mobile Sensors
inferredcites →https://doi.org/10.1145/3379503.3403543openalex-snapshot
Lung Function Estimation from a Monosyllabic Voice Segment Captured Using Smartphones
inferredcites →https://doi.org/10.1145/3381014openalex-snapshot
FluSense
inferredcites →https://doi.org/10.1145/3382507.3418852openalex-snapshot
BreathEasy: Assessing Respiratory Diseases Using Mobile Multimodal Sensors
inferredcites →https://doi.org/10.1145/3448124openalex-snapshot
Listen2Cough
inferredcites →https://doi.org/10.1145/3478085openalex-snapshot
ExpressEar
inferredcites →https://doi.org/10.1145/3478123openalex-snapshot
BreathTrack
inferredcites →https://doi.org/10.1145/3494994openalex-snapshot
IMU2Doppler
inferredcites →https://doi.org/10.1164/ajrccm.161.5.9908022openalex-snapshot
Time Course and Recovery of Exacerbations in Patients with Chronic Obstructive Pulmonary Disease
inferredcites →https://doi.org/10.1164/rccm.200310-1443ocopenalex-snapshot
Early Therapy Improves Outcomes of Exacerbations of Chronic Obstructive Pulmonary Disease
inferredcites →https://doi.org/10.1164/rccm.201710-2029ocopenalex-snapshot
Natural History of Chronic Obstructive Pulmonary Disease Exacerbations in a General Practice–based Population with Chronic Obstructive Pulmonary Disease
inferredcites →https://doi.org/10.1513/annalsats.201708-685mgopenalex-snapshot
International Approach to Environmental and Lung Health. A Perspective from the Fogarty International Center
inferredcites →https://doi.org/10.21437/interspeech.2009-572openalex-snapshot
Reconstructing clean speech from noisy MFCC vectors
inferredcites →https://doi.org/10.21437/interspeech.2016-129openalex-snapshot
The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception, Sincerity & Native Language
inferredcites →https://doi.org/10.21437/interspeech.2022-155openalex-snapshot
Extended U-Net for Speaker Verification in Noisy Environments
inferredcites →https://doi.org/10.21629/jsee.2017.01.18openalex-snapshot
Convolutional neural networks for time series classification
inferredcites →https://doi.org/10.2196/10046openalex-snapshot
Feasibility of Using a Smartwatch to Intensively Monitor Patients With Chronic Obstructive Pulmonary Disease: Prospective Cohort Study
inferredcites →https://doi.org/10.3389/fpubh.2022.1015876openalex-snapshot
A forced cough sound based pulmonary function assessment method by using machine learning
inferredcites →https://doi.org/10.3390/app11177999openalex-snapshot
Speech-Based Support System to Supervise Chronic Obstructive Pulmonary Disease Patient Status
inferredcites →https://doi.org/10.3897/rio.2.e9173openalex-snapshot
Acoustic biomarkers of Chronic Obstructive Lung Disease
inferredcites →https://doi.org/10.48550/arxiv.1705.02304openalex-snapshot
Deep Speaker: an End-to-End Neural Speaker Embedding System
inferredcites →https://doi.org/10.48550/arxiv.2010.16071openalex-snapshot
T-vectors: Weakly Supervised Speaker Identification Using Hierarchical Transformer Model
inferredcites →https://doi.org/10.7326/0003-4819-106-2-196openalex-snapshot
Antibiotic Therapy in Exacerbations of Chronic Obstructive Pulmonary Disease

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1038/s41598-025-14171-0openalex-snapshot
Association of daily lung condition in COPD patients with wearable speech and physiological data
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10888421openalex-snapshot
Phoneme-Aware Acoustic Analysis of Natural Speech for Lung Function Assessment
inferred← citeshttps://doi.org/10.1109/jiot.2024.3470321openalex-snapshot
Wi-Pulmo: Commodity WiFi Can Capture Your Pulmonary Function Without Mouth Clinging
inferred← citeshttps://doi.org/10.1109/jiot.2026.3676143openalex-snapshot
Contactless Respiratory Rate Variability Using Smartphone Acoustics
inferred← citeshttps://doi.org/10.1109/percom67906.2026.11524535openalex-snapshot
Addressing Extra Voices and Background Noise in Continuous Speech Monitoring: A Case Study on Chronic Obstructive Pulmonary Disease
inferred← citeshttps://doi.org/10.1136/bmjresp-2024-002841openalex-snapshot
Determining what patients admitted with a chronic obstructive pulmonary disease (COPD) exacerbation will use for remote clinical monitoring: a patient engagement survey
inferred← citeshttps://doi.org/10.1145/3729472openalex-snapshot
SputumLocator: Enhancing Airway Clearance with Auscultation-based Sputum Localization
inferred← citeshttps://doi.org/10.1186/s12911-024-02461-yopenalex-snapshot
Feasibility of a wearable self-management application for patients with COPD at home: a pilot study
inferred← citeshttps://doi.org/10.1186/s12911-026-03495-0openalex-snapshot
Predicting disease outcomes from remote monitoring using machine learning: a systematic review
inferred← citeshttps://doi.org/10.6084/m9.figshare.25347112openalex-snapshot
Additional file 1 of Feasibility of a wearable self-management application for patients with COPD at home: a pilot study
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