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Harmonic Beamformers for Non-Intrusive Speech Intelligibility Prediction
2019
Interspeech 2019
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This paper proposes two non-intrusive intelligibility measures, which allow using the intrusive short-time objective intelligibility (STOI) measure without requiring access to the clean signal. ...
The experimental results show a high correlation between both proposed non-intrusive speech intelligibility measures and the original intrusively computed STOI scores. ...
The present paper proposes new solutions to non-intrusive speech intelligibility prediction using, respectively, a fixed and an adaptive harmonic spatial filter based on a combination of the principles ...
doi:10.21437/interspeech.2019-2929
dblp:conf/interspeech/SorensenBC19
fatcat:g5pot3vvvre4ximjsgudbeak5q
An improved non-intrusive intelligibility metric for noisy and reverberant speech
2014
2014 14th International Workshop on Acoustic Signal Enhancement (IWAENC)
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Non-intrusive speech intelligibility metrics are based solely on the corrupted speech information and a prior model of the speech signal in a given representation. ...
, as well as outperforms several standard intrusive and non-intrusive benchmark metrics. ...
As such, objective metrics have been the focus of recent research with so-called intrusive and non-intrusive models being developed based on the need, or not, of a clean reference signal, respectively. ...
doi:10.1109/iwaenc.2014.6953337
dblp:conf/iwaenc/SantosSF14
fatcat:cl4p2ftaivb2zpaj7uetel2bn4
Data Driven Method For Non-Intrusive Speech Intelligibility Estimation
2010
Zenodo
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The performance of the SII is compared with our non-intrusive intelligibility method, LCIA that is based on the LCQA algorithm. ...
non-intrusive. ...
doi:10.5281/zenodo.41964
fatcat:ha5yvulnxfgajcp4trx5svlisu
A data-driven non-intrusive measure of speech quality and intelligibility
2016
Speech Communication
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The NISA measure therefore provides non-intrusive (single-ended) PESQ and STOI estimates with high accuracy. ...
The results indicate that the accuracy of the new non-intrusive method is around 90% of the accuracy of the intrusive measures, depending on the test scenario. ...
A non-intrusive method for speech quality and intelligibility estimation of reverberant and de-reverberated speech was presented in [41] and a method for predicting the intelligibility of reverberant ...
doi:10.1016/j.specom.2016.03.005
fatcat:thnlepkfarb3vp3whw64qndc5y
Objective speech intelligibility measurement for cochlear implant users in complex listening environments
2013
Speech Communication
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Objective intelligibility measurement allows for reliable, low-cost, and repeatable assessment of innovative speech processing technologies, thus dispensing costly and time-consuming subjective tests. ...
To date, existing objective measures have focused on normal hearing model, and limited use has been found for restorative hearing instruments such as cochlear implants (CIs). ...
Objective intelligibility measurement As mentioned previously, objective intelligibility metrics can be classified as intrusive or non-intrusive. ...
doi:10.1016/j.specom.2013.04.001
pmid:23956478
pmcid:PMC3744246
fatcat:ttzqjv4gyva65f5v3glvkxty6y
Low-Complexity, Nonintrusive Speech Quality Assessment
2006
IEEE Transactions on Audio, Speech, and Language Processing
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The most efficient way to satisfy such a need is through non-intrusive, objective speech quality assessment. ...
The results from the performed experiments indicate that the proposed non-intrusive objective quality measure performs better than the ITU-T P.563 standard. ...
Intrusive and Non-intrusive type of quality assessment. ...
doi:10.1109/tasl.2006.883250
fatcat:pyugxad2qrc2hfbb7626ggv56i
Phase-Aware Subspace Decomposition forSingle Channel Speech Separation
2020
IET Signal Processing
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Separation results are reported in terms of both intrusive and non-intrusive metrics using realistic recordings corrupted with real-life noises. ...
Recognition results show that separated signals are of high intelligibility so that they can be exploited by other automatic applications. ...
The intrusive and non-intrusive objective measurements focus on the quality of the produced signal, which is also crucial for SS tasks. ...
doi:10.1049/iet-spr.2019.0373
fatcat:x4nmgbbyjbd6na5seur6nlypkq
Developing Objective Measures of Foreign-Accent Conversion
2010
IEEE Transactions on Audio, Speech, and Language Processing
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This article presents three objective measures that may be used to assess the acoustic quality, degree of foreign accent, and speaker identity of accent-converted utterances. ...
Non-intrusive measures of speech quality must be used when reference signals are too costly or impossible to obtain, in which case one must predict quality based on the test speech itself. ...
Acoustic Correlates of Acoustic Quality, Foreign Accent, and Speaker Identity 1) Acoustic Quality: Objective measures of quality can be broadly described as either intrusive or non-intrusive. ...
doi:10.1109/tasl.2009.2038818
fatcat:gf4utkywgfgnnj2wpnkhza5kzm
Intrusive and Non-Intrusive Perceptual Speech Quality Assessment Using a Convolutional Neural Network
2019
2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
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Here we propose using a convolutional neural network to predict the perceived quality of speech with noise, reverberation, and distortions, both intrusively and non-intrusively, i.e., with and without ...
Prior art includes using a neural network to predict the effect of compression and transmission artifacts on conversational quality [9] , using tree-based regression for non-intrusive estimation of speech ...
intrusively and non-intrusively. ...
doi:10.1109/waspaa.2019.8937202
dblp:conf/waspaa/GamperRCTG19
fatcat:7dkhonkgtzap3mudewhm5kw6me
Author Index
2021
2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)
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Body Mass Index (BMI) Prediction 629 Design of an IoT-based Body Mass Index (BMI) Prediction Model 155 Detection of Covid-19 Based on Lung Ultrasound Image Using Convolutional Neural Network Architectures ...
Wide Range Voltage Control Of DC Step-Up Zeta Converter For Energy Management System 446 An XGBoost Model for Age Prediction from COVID-19 Blood Test 384 Non-Hermitian Symmetry(NHS)-OFDM Application in ...
doi:10.1109/isriti54043.2021.9702846
fatcat:ferqbimf5rfztc246rtvmppqxq
Efficient Intrusion Detection Scheme based on SVM
2013
Journal of Networks
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Experimental results show that SVMs based on IHS have a high prediction accuracy which can perform prediction and classification of network intrusion detection and assist in guarding against network intrusion ...
The network intrusion detection problem is the focus of current academic research. ...
PROPOSED APPROACH FOR INTRUSION DETECTION In this section, we present the proposed intrusion detection approach based on SVM model with IHS algorithm [14] . ...
doi:10.4304/jnw.8.9.2128-2134
fatcat:kmjse5nsr5c47k2m7f2hj4ufki
ViSQOL: an objective speech quality model
2015
EURASIP Journal on Audio, Speech, and Music Processing
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It is a signal-based, full-reference, intrusive metric that models human speech quality perception using a spectro-temporal measure of similarity between a reference and a test speech signal. ...
This paper presents an objective speech quality model, ViSQOL, the Virtual Speech Quality Objective Listener. ...
In contrast to intrusive methods, the idea of the singleended (non-intrusive) signal-based method is to predict the quality without access to a reference signal. ...
doi:10.1186/s13636-015-0054-9
fatcat:azi6kkrrmfak3bdtay2z7gbj7a
From Speech Quality Measures to Speaker Recognition Performance
[chapter]
2014
Lecture Notes in Computer Science
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To accomplish this, four objective non-intrusive QM were selected (KLPC, KCEP, HD, P563), based on the relationship between their features and the speaker recognition process. ...
The objective measures are classified as intrusive or non-intrusive depending on whether a sample of the original speech signal is needed or not. ...
Hence, in this work we are going to focus on non-intrusive quality measures. ...
doi:10.1007/978-3-319-12568-8_25
fatcat:b7dzt6hn65ephpx5homqmqgari
Effectiveness Of Ideal Ratio Mask For Non-Intrusive Quality Assessment Of Noise Suppressed Speech
2018
Zenodo
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In this Section, predicted IRM is used for non-intrusive quality assessment. The 8-fold CV experiment was repeated using predicted IRM features. ...
Currently, ITU-T P.563 is the standard metric for non-intrusive quality assessment [12] . ...
doi:10.5281/zenodo.1159196
fatcat:upsdfuwzdjfg3eaw733kfdouey
Non-Intrusive Counter-Actions: Maintaining Progressively Engaging Interactions For Music Performance
2016
Zenodo
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Through these new features, the response module produces meaningful and non-intrusive counter actions, attempting to deepen and maintain the performer's engagement in musical interaction. ...
NOISA is an interactive music system that predicts performer's engagement levels, learns from the performer, decides what to do and does it at the right moment. ...
Non-intrusive Counter-actions Each one of the NOISA instrument features a sonic agent inside it. ...
doi:10.5281/zenodo.1176131
fatcat:gl3mab24prghjkhdop4f7xjojq
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