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An algorithm that improves speech intelligibility in noise for normal-hearing listeners

https://doi.org/10.1121/1.3184603
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What this work says

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

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Speaker Verification Using Adapted Gaussian Mixture Models
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Assessment for automatic speech recognition: II. NOISEX-92: A database and an experiment to study the effect of additive noise on speech recognition systems
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A Bayesian classifier for spectrographic mask estimation for missing feature speech recognition
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Human and machine consonant recognition
inferredcites →https://doi.org/10.1016/j.specom.2006.12.006openalex-snapshot
Subjective comparison and evaluation of speech enhancement algorithms
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Reaching over the gap: A review of efforts to link human and automatic speech recognition research
inferredcites →https://doi.org/10.1016/s0167-6393(00)00034-0openalex-snapshot
Robust automatic speech recognition with missing and unreliable acoustic data
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Speech recognition by machines and humans
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Speech recognition with amplitude and frequency modulations
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The Design and Evaluation of a Hearing Aid with Trainable Amplification Parameters
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Robust text-independent speaker identification using Gaussian mixture speaker models
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Speech enhancement based on a priori signal to noise estimation
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Evaluation of a correlation subtraction method for enhancing speech degraded by additive white noise
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Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences
inferredcites →https://doi.org/10.1109/tassp.1984.1164453openalex-snapshot
Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator
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Speech enhancement using a minimum mean-square error log-spectral amplitude estimator
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Speaker-independent isolated word recognition using dynamic features of speech spectrum
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IEEE Recommended Practice for Speech Quality Measurements
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Monaural Speech Segregation Based on Pitch Tracking and Amplitude Modulation
inferredcites →https://doi.org/10.1109/tsa.2003.811542openalex-snapshot
SNR estimation based on amplitude modulation analysis with applications to noise suppression
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Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1121/1.1710877openalex-snapshot
An efficient robust sound classification algorithm for hearing aids
inferredcites →https://doi.org/10.1121/1.2363929openalex-snapshot
Isolating the energetic component of speech-on-speech masking with ideal time-frequency segregation
inferredcites →https://doi.org/10.1121/1.2766778openalex-snapshot
A comparative intelligibility study of single-microphone noise reduction algorithms
inferredcites →https://doi.org/10.1121/1.2832617openalex-snapshot
Factors influencing intelligibility of ideal binary-masked speech: Implications for noise reduction
inferredcites →https://doi.org/10.1121/1.2884086openalex-snapshot
Effect of spectral resolution on the intelligibility of ideal binary masked speech
inferredcites →https://doi.org/10.1121/1.2939132openalex-snapshot
Segregation of unvoiced speech from nonspeech interference
inferredcites →https://doi.org/10.1121/1.408546openalex-snapshot
Speech enhancement based on physiological and psychoacoustical models of modulation perception and binaural interaction
inferredcites →https://doi.org/10.1126/science.1088904openalex-snapshot
The Power of Speech
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Periodicity coding in the inferior colliculus of the cat. I. Neuronal mechanisms
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An Introduction to the Psychology of Hearing

What points at this work

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

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Supervised Attention Multi-Scale Temporal Convolutional Network for Monaural Speech Enhancement in Real Scenarios
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Ideal Binary Masking In Reverberation
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Computational Auditory Scene Analysis and Automatic Speech Recognition
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Microphone‐Array‐Based Speech Enhancement Using Neural Networks
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Machine‐Learning Techniques for Deaf People
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Hybrid Feature Extraction Techniques Using TEO-PWP for Enhancement of Automatic Speech Recognition in Real Noisy Environment
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Noise Perturbation Improves Supervised Speech Separation
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Cognitive Mechanism of Semantic Content Decoding of Spoken Discourse in Noise
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Phase Constraint and Deep Neural Network for Speech Separation
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DNN Based Mask Estimation for Supervised Speech Separation
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Binaural Localization and Detection of Speakers in Complex Acoustic Scenes
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Whisper Intelligibility Enhancement Using a Supervised Learning Approach
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Co-channel Speech Separation Based on Amplitude Modulation Spectrum Analysis
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Mask Estimation Using Phase Information and Inter-channel Correlation for Speech Enhancement
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Two-Stage Cascaded Speech Enhancement by Exploiting Magnitude and Phase Optimization
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Hybridization of spectral filtering with particle swarm optimization for speech signal enhancement
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Single channel noise reduction system in low SNR
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Speech enhancement by combining spectral subtraction and minimum mean square error-spectrum power estimator based on zero crossing
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Deep recurrent neural networks based binaural speech segregation for the selection of closest target of interest
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RETRACTED ARTICLE: Deep convolutional neural network-based speech enhancement to improve speech intelligibility and quality for hearing-impaired listeners
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Single-channel speech enhancement
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Monaural Source Separation in Complex Domain With Long Short-Term Memory Neural Network
inferred← citeshttps://doi.org/10.1109/lsp.2010.2087412openalex-snapshot
Improving Speech Intelligibility in Noise Using a Binary Mask That Is Based on Magnitude Spectrum Constraints
inferred← citeshttps://doi.org/10.1109/lsp.2014.2311435openalex-snapshot
Time-Frequency Feature and AMS-GMM Mask for Acoustic Emotion Classification
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/10.1109/prai62207.2024.10827022openalex-snapshot
CSM2Net: Exploring Effective Fusion of Complex Spectral Masking and Complex Spectral Mapping for Speech Enhancement
inferred← citeshttps://doi.org/10.1109/rbme.2021.3095428openalex-snapshot
Noise Reduction in Cochlear Implant Signal Processing: A Review and Recent Developments
inferred← citeshttps://doi.org/10.1109/rteict46194.2019.9016896openalex-snapshot
Improving Speech Intelligibility using Deep Learning
inferred← citeshttps://doi.org/10.1109/spin.2014.6776910openalex-snapshot
A fuzzy mask based on wavelet packet for improving speech quality and intelligibility
inferred← citeshttps://doi.org/10.1109/sspd.2019.8751658openalex-snapshot
Sequentially Trained DNNs Based Monaural Source Separation in Real Room Environments
inferred← citeshttps://doi.org/10.1109/tai.2021.3119927openalex-snapshot
Domain Adaptation and Autoencoder-Based Unsupervised Speech Enhancement
inferred← citeshttps://doi.org/10.1109/tasl.2010.2041116openalex-snapshot
Improving Speech Intelligibility in Noise Using Environment-Optimized Algorithms
inferred← citeshttps://doi.org/10.1109/tasl.2010.2045180openalex-snapshot
Reasons why Current Speech-Enhancement Algorithms do not Improve Speech Intelligibility and Suggested Solutions
inferred← citeshttps://doi.org/10.1109/tasl.2010.2050731openalex-snapshot
Manipulation of Consonants in Natural Speech
inferred← citeshttps://doi.org/10.1109/tasl.2010.2082531openalex-snapshot
Estimators of the Magnitude-Squared Spectrum and Methods for Incorporating SNR Uncertainty
inferred← citeshttps://doi.org/10.1109/tasl.2011.2157685openalex-snapshot
Spectral Magnitude Minimum Mean-Square Error Estimation Using Binary and Continuous Gain Functions
inferred← citeshttps://doi.org/10.1109/tasl.2012.2186803openalex-snapshot
CASA-Based Robust Speaker Identification
inferred← citeshttps://doi.org/10.1109/tasl.2012.2193391openalex-snapshot
A Binaural Scene Analyzer for Joint Localization and Recognition of Speakers in the Presence of Interfering Noise Sources and Reverberation
inferred← citeshttps://doi.org/10.1109/tasl.2012.2213248openalex-snapshot
The Potential for Speech Intelligibility Improvement Using the Ideal Binary Mask and the Ideal Wiener Filter in Single Channel Noise Reduction Systems: Application to Auditory Prostheses
inferred← citeshttps://doi.org/10.1109/tasl.2012.2215596openalex-snapshot
Towards Generalizing Classification Based Speech Separation
inferred← citeshttps://doi.org/10.1109/tasl.2012.2221459openalex-snapshot
Exploring Monaural Features for Classification-Based Speech Segregation
inferred← citeshttps://doi.org/10.1109/tasl.2012.2226156openalex-snapshot
A New Bayesian Method Incorporating With Local Correlation for IBM Estimation
inferred← citeshttps://doi.org/10.1109/tasl.2012.2229986openalex-snapshot
Deep Belief Networks Based Voice Activity Detection
inferred← citeshttps://doi.org/10.1109/tasl.2012.2236316openalex-snapshot
Binaural Detection, Localization, and Segregation in Reverberant Environments Based on Joint Pitch and Azimuth Cues
inferred← citeshttps://doi.org/10.1109/tasl.2013.2250961openalex-snapshot
Towards Scaling Up Classification-Based Speech Separation
inferred← citeshttps://doi.org/10.1109/taslp.2014.2305833openalex-snapshot
Investigation of Speech Separation as a Front-End for Noise Robust Speech Recognition
inferred← citeshttps://doi.org/10.1109/taslp.2014.2308398openalex-snapshot
Robust Speaker Identification in Noisy and Reverberant Conditions
inferred← citeshttps://doi.org/10.1109/taslp.2014.2352935openalex-snapshot
On Training Targets for Supervised Speech Separation
inferred← citeshttps://doi.org/10.1109/taslp.2014.2359159openalex-snapshot
A Feature Study for Classification-Based Speech Separation at Low Signal-to-Noise Ratios
inferred← citeshttps://doi.org/10.1109/taslp.2014.2361023openalex-snapshot
Binaural Classification for Reverberant Speech Segregation Using Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/taslp.2015.2416653openalex-snapshot
Learning Spectral Mapping for Speech Dereverberation and Denoising
inferred← citeshttps://doi.org/10.1109/taslp.2015.2512042openalex-snapshot
Complex Ratio Masking for Monaural Speech Separation
inferred← citeshttps://doi.org/10.1109/taslp.2016.2536478openalex-snapshot
A Deep Ensemble Learning Method for Monaural Speech Separation
inferred← citeshttps://doi.org/10.1109/taslp.2016.2540805openalex-snapshot
A Pairwise Algorithm Using the Deep Stacking Network for Speech Separation and Pitch Estimation
inferred← citeshttps://doi.org/10.1109/taslp.2016.2598306openalex-snapshot
Compressive Sensing-Based Speech Enhancement
inferred← citeshttps://doi.org/10.1109/taslp.2016.2628641openalex-snapshot
Speech Intelligibility Potential of General and Specialized Deep Neural Network Based Speech Enhancement Systems
inferred← citeshttps://doi.org/10.1109/taslp.2017.2687104openalex-snapshot
Deep Learning Based Binaural Speech Separation in Reverberant Environments
inferred← citeshttps://doi.org/10.1109/taslp.2017.2687829openalex-snapshot
Features for Masking-Based Monaural Speech Separation in Reverberant Conditions
inferred← citeshttps://doi.org/10.1109/taslp.2018.2835719openalex-snapshot
Using Visual Speech Information in Masking Methods for Audio Speaker Separation
inferred← citeshttps://doi.org/10.1109/taslp.2018.2842159openalex-snapshot
Supervised Speech Separation Based on Deep Learning: An Overview
inferred← citeshttps://doi.org/10.1109/taslp.2018.2851151openalex-snapshot
Deep Learning Based Speech Separation via NMF-Style Reconstructions
inferred← citeshttps://doi.org/10.1109/taslp.2018.2868407openalex-snapshot
A New Ratio Mask Representation for CASA-Based Speech Enhancement
inferred← citeshttps://doi.org/10.1109/taslp.2018.2874708openalex-snapshot
Two-Stage Monaural Source Separation in Reverberant Room Environments Using Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/taslp.2018.2877909openalex-snapshot
On the Relationship Between Short-Time Objective Intelligibility and Short-Time Spectral-Amplitude Mean-Square Error for Speech Enhancement
inferred← citeshttps://doi.org/10.1109/taslp.2020.2968738openalex-snapshot
On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement
inferred← citeshttps://doi.org/10.1109/taslp.2021.3107617openalex-snapshot
Recurrent Neural Networks and Acoustic Features for Frame-Level Signal-to-Noise Ratio Estimation
inferred← citeshttps://doi.org/10.1109/tbme.2014.2351854openalex-snapshot
Ideal Time–Frequency Masking Algorithms Lead to Different Speech Intelligibility and Quality in Normal-Hearing and Cochlear Implant Listeners
inferred← citeshttps://doi.org/10.1109/tnsre.2018.2794557openalex-snapshot
Perceptual and Model-Based Evaluation of Ideal Time-Frequency Noise Reduction in Hearing-Impaired Listeners
inferred← citeshttps://doi.org/10.1109/tsp.2015.2477059openalex-snapshot
Online Noisy Single-Channel Source Separation Using Adaptive Spectrum Amplitude Estimator and Masking
inferred← citeshttps://doi.org/10.1109/tvlsi.2023.3300910openalex-snapshot
PeakEngine: A Deterministic On-the-Fly Pruning Neural Network Accelerator for Hearing Instruments
inferred← citeshttps://doi.org/10.1109/waspaa.2013.6701821openalex-snapshot
Environment-aware ideal binary mask estimation using monaural cues
inferred← citeshttps://doi.org/10.1109/waspaa.2013.6701888openalex-snapshot
Ensemble learning for speech enhancement
inferred← citeshttps://doi.org/10.1109/waspaa.2015.7336926openalex-snapshot
Sidechain harmonic enhancement of noise corrupted speech for hearing impaired listeners
inferred← citeshttps://doi.org/10.1109/waspaa.2019.8937085openalex-snapshot
IRM with Phase Parameterization for Speech Enhancement
inferred← citeshttps://doi.org/10.1111/1749-4877.12549openalex-snapshot
Separating overlapping bat calls with a bi‐directional long short‐term memory network
inferred← citeshttps://doi.org/10.1121/1.3263603openalex-snapshot
Intelligibility and listener preference of telephone speech in the presence of babble noise
inferred← citeshttps://doi.org/10.1121/1.3365256openalex-snapshot
Environment-specific noise suppression for improved speech intelligibility by cochlear implant users
inferred← citeshttps://doi.org/10.1121/1.3372718openalex-snapshot
A simulation study of harmonics regeneration in noise reduction for electric and acoustic stimulation
inferred← citeshttps://doi.org/10.1121/1.3559683openalex-snapshot
A channel-selection criterion for suppressing reverberation in cochlear implants
inferred← citeshttps://doi.org/10.1121/1.3571422openalex-snapshot
Comparative intelligibility investigation of single-channel noise-reduction algorithms for Chinese, Japanese, and English
inferred← citeshttps://doi.org/10.1121/1.3605668openalex-snapshot
Extending the articulation index to account for non-linear distortions introduced by noise-suppression algorithms
inferred← citeshttps://doi.org/10.1121/1.3619790openalex-snapshot
Gain-induced speech distortions and the absence of intelligibility benefit with existing noise-reduction algorithms
inferred← citeshttps://doi.org/10.1121/1.3665990openalex-snapshot
Perceptually optimized gain function for cochlear implant signal-to-noise ratio based noise reduction
inferred← citeshttps://doi.org/10.1121/1.3688488openalex-snapshot
Channel selection in the modulation domain for improved speech intelligibility in noise
inferred← citeshttps://doi.org/10.1121/1.3697534openalex-snapshot
Spectro-temporal modulation energy based mask for robust speaker identification
inferred← citeshttps://doi.org/10.1121/1.4739441openalex-snapshot
Improving word recognition in noise among hearing-impaired subjects with a single-channel cochlear noise-reduction algorithm
inferred← citeshttps://doi.org/10.1121/1.4747006openalex-snapshot
Perceptual effects of noise reduction by time-frequency masking of noisy speech
inferred← citeshttps://doi.org/10.1121/1.4754541openalex-snapshot
A classification based approach to speech segregation
inferred← citeshttps://doi.org/10.1121/1.4754550openalex-snapshot
Nested sampling applied in Bayesian room-acoustics decay analysis
inferred← citeshttps://doi.org/10.1121/1.4788999openalex-snapshot
Comparison of two channel selection criteria for noise suppression in cochlear implants
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