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Comparative intelligibility investigation of single-channel noise-reduction algorithms for Chinese, Japanese, and English
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Subjective comparison and evaluation of speech enhancement algorithms
inferredcites →https://doi.org/10.1016/j.specom.2007.02.002openalex-snapshot
On the optimal linear filtering techniques for noise reduction
inferredcites →https://doi.org/10.1016/j.specom.2008.07.002openalex-snapshot
Development of familiarity-controlled word lists 2003 (FW03) to assess spoken-word intelligibility in Japanese
inferredcites →https://doi.org/10.1016/s0165-1684(01)00128-1openalex-snapshot
Speech enhancement for non-stationary noise environments
inferredcites →https://doi.org/10.1037/h0042478openalex-snapshot
Multiple comparison in psychological research.
inferredcites →https://doi.org/10.1037/h0044320openalex-snapshot
Significance tests for multiple comparison of proportions, variances, and other statistics.
inferredcites →https://doi.org/10.1044/jshr.3103.386openalex-snapshot
Evaluation of Two Speech Enhancement Techniques to Improve Intelligibility for Hearing-Impaired Adults
inferredcites →https://doi.org/10.1044/jshr.3301.149openalex-snapshot
Hearing Loss, Aging, and Speech Perception in Reverberation and Noise
inferredcites →https://doi.org/10.1080/00016489.1990.12088415openalex-snapshot
Spectral Enhancement to Improve the Intelligibility of Speech in Noise for Hearing-impaired Listeners
inferredcites →https://doi.org/10.1109/89.824700openalex-snapshot
Signal/noise KLT based approach for enhancing speech degraded by colored noise
inferredcites →https://doi.org/10.1109/97.736233openalex-snapshot
A statistical model-based voice activity detection
inferredcites →https://doi.org/10.1109/icassp.1996.543199openalex-snapshot
Speech enhancement based on a priori signal to noise estimation
inferredcites →https://doi.org/10.1109/icassp.2002.5745591openalex-snapshot
A multi-band spectral subtraction method for enhancing speech corrupted by colored noise
inferredcites →https://doi.org/10.1109/icslp.1996.607318openalex-snapshot
Intelligibility of speech with filtered time trajectories of spectral envelopes
inferredcites →https://doi.org/10.1109/tassp.1976.1162824openalex-snapshot
The enhancement of speech intelligibility in high noise levels by high-pass filtering followed by rapid amplitude compression
inferredcites →https://doi.org/10.1109/tassp.1985.1164550openalex-snapshot
Speech enhancement using a minimum mean-square error log-spectral amplitude estimator
inferredcites →https://doi.org/10.1109/tau.1969.1162058openalex-snapshot
IEEE Recommended Practice for Speech Quality Measurements
inferredcites →https://doi.org/10.1109/tsa.2003.814458openalex-snapshot
A generalized subspace approach for enhancing speech corrupted by colored noise
inferredcites →https://doi.org/10.1109/tsa.2005.860851openalex-snapshot
New insights into the noise reduction Wiener filter
inferredcites →https://doi.org/10.1121/1.1623786openalex-snapshot
Relative importance of temporal envelope and fine structure in lexical-tone perception (L)
inferredcites →https://doi.org/10.1121/1.1886405openalex-snapshot
Relative contributions of spectral and temporal cues for phoneme recognition
inferredcites →https://doi.org/10.1121/1.2118407openalex-snapshot
The influence of noise on vowel and consonant cues
inferredcites →https://doi.org/10.1121/1.2766778openalex-snapshot
A comparative intelligibility study of single-microphone noise reduction algorithms
inferredcites →https://doi.org/10.1121/1.3184603openalex-snapshot
An algorithm that improves speech intelligibility in noise for normal-hearing listeners
inferredcites →https://doi.org/10.1121/1.394323openalex-snapshot
Consonant recognition in quiet and in noise with aging among normal hearing listeners
inferredcites →https://doi.org/10.1121/1.395024openalex-snapshot
Minimum spectral contrast for vowel identification by normal-hearing and hearing-impaired listeners
inferredcites →https://doi.org/10.1121/1.408467openalex-snapshot
Effect of temporal envelope smearing on speech reception
inferredcites →https://doi.org/10.1121/1.408825openalex-snapshot
Temporal envelope and fine structure cues for speech intelligibility
inferredcites →https://doi.org/10.1121/1.413112openalex-snapshot
Temporal envelope and fine structure cues for speech intelligibility
inferredcites →https://doi.org/10.1121/1.421253openalex-snapshot
Comparison of speech intelligibility between English and Chinese
inferredcites →https://doi.org/10.1121/1.423251openalex-snapshot
Importance of tonal envelope cues in Chinese speech recognition
inferredcites →https://doi.org/10.1121/1.426895openalex-snapshot
Syllable intelligibility for temporally filtered LPC cepstral trajectories
inferredcites →https://doi.org/10.1121/1.427363openalex-snapshot
Cross-language speech intelligibility in noise: The comparison on the aspect of language dominance
inferredcites →https://doi.org/10.1126/science.270.5234.303openalex-snapshot
Speech Recognition with Primarily Temporal Cues
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.5281/zenodo.48713openalex-extracted
Lombard Speech Database For German Language
inferred← citeshttps://doi.org/10.1002/lio2.71openalex-snapshot
Assessment and improvement of sound quality in cochlear implant users
inferred← citeshttps://doi.org/10.1007/978-981-13-9129-3_8openalex-snapshot
Role of Deep Neural Network in Speech Enhancement: A Review
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Modified segmental signal-to-noise ratio reflecting spectral masking effect for evaluating the performance of hearing aid algorithms
inferred← citeshttps://doi.org/10.1016/j.specom.2015.01.001openalex-snapshot
Effect of the degree of sensorineural hearing impairment on the results of subjective evaluations of a noise-reduction algorithm
inferred← citeshttps://doi.org/10.1016/j.specom.2015.10.003openalex-snapshot
Generalized maximum a posteriori spectral amplitude estimation for speech enhancement
inferred← citeshttps://doi.org/10.1016/j.specom.2023.103026openalex-snapshot
Performance of single-channel speech enhancement algorithms on Mandarin listeners with different immersion conditions in New Zealand English
inferred← citeshttps://doi.org/10.1016/j.ymssp.2019.106389openalex-snapshot
Time interval of multiple crossings of the Wiener process and a fixed threshold in engineering
inferred← citeshttps://doi.org/10.1080/14992027.2017.1279758openalex-snapshot
Comparison of single-microphone noise reduction schemes: can hearing impaired listeners tell the difference?
inferred← citeshttps://doi.org/10.1109/access.2017.2766675openalex-snapshot
Experimental Study on Extreme Learning Machine Applications for Speech Enhancement
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CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application
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Audio-visual speech enhancement using deep neural networks
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Perceptual roles of temporal and segmentation cues in single-channel noise reduction processing
inferred← citeshttps://doi.org/10.1109/chinasip.2013.6625359openalex-snapshot
Objective Japanese intelligibility prediction for noisy speech signals before and after noise-reduction processing
inferred← citeshttps://doi.org/10.1109/embc.2016.7591743openalex-snapshot
Assessing the effect of noise-reduction to the intelligibility of low-pass filtered speech
inferred← citeshttps://doi.org/10.1109/icassp.2012.6288911openalex-snapshot
Evaluation of objective intelligibility prediction measures for noise-reduced signals in mandarin
inferred← citeshttps://doi.org/10.1109/icassp.2015.7177993openalex-snapshot
Modulation Wiener filter for improving speech intelligibility
inferred← citeshttps://doi.org/10.1109/icme.2013.6607589openalex-snapshot
Noise robust keyword spotting for user generated video blogs
inferred← citeshttps://doi.org/10.1109/lsp.2021.3095016openalex-snapshot
A Single-Input/Binaural-Output Antiphasic Speech Enhancement Method for Speech Intelligibility Improvement
inferred← citeshttps://doi.org/10.1109/siu.2018.8404344openalex-snapshot
Evaluation of single-channel speech enhancement algorithms by using objective quality and intelligibility measures
inferred← citeshttps://doi.org/10.1109/taslp.2014.2360643openalex-snapshot
A Family of Maximum SNR Filters for Noise Reduction
inferred← citeshttps://doi.org/10.1109/taslp.2020.2976193openalex-snapshot
Multichannel Speech Enhancement by Raw Waveform-Mapping Using Fully Convolutional Networks
inferred← citeshttps://doi.org/10.1109/taslp.2022.3153265openalex-snapshot
Improved Lite Audio-Visual Speech Enhancement
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Attend to Listen: A Single-Input/Binaural-Output Heterophasic MVDR Filter for Noise Reduction and Perceptual Rendering
inferred← citeshttps://doi.org/10.1109/tcsi.2020.3001160openalex-snapshot
A 1.5 mW Programmable Acoustic Signal Processor for Hearing Assistive Devices With Speech Intelligibility Enhancement
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Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks
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Investigation of objective measures for intelligibility prediction of noise-reduced speech for Chinese, Japanese, and English
inferred← citeshttps://doi.org/10.1121/1.4967453openalex-snapshot
Assessing the perceptual contributions of level-dependent segments to sentence intelligibility
inferred← citeshttps://doi.org/10.1121/1.5000164openalex-snapshot
Effects of noise suppression and envelope dynamic range compression on the intelligibility of vocoded sentences for a tonal language
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Understanding low-pass-filtered Mandarin sentences: Effects of fundamental frequency contour and single-channel noise suppression
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Speech intelligibility enhancement for Thai-speaking cochlear implant listeners
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Towards intelligibility oriented audio-visual speech enhancement
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Analysis of very low quality speech for mask-based enhancement
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The Voice Track multiband single-channel modified Wiener-filter noise reduction system for cochlear implants: patients' outcomes and subjective appraisal
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Speech enhancement algorithm of improved OMLSA based on bilateral spectrogram filtering
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Speech enhancement based on perceptually motivated guided spectrogram filtering
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Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks
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