Improving Quality of Service in Baseband Speech Communication
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[1] W. Bastiaan Kleijn,et al. Rephrasing-based speech intelligibility enhancement , 2013, INTERSPEECH.
[2] Peter Vary,et al. Near end listening enhancement optimized with respect to Speech Intelligibility Index , 2009, 2009 17th European Signal Processing Conference.
[3] Yannis Stylianou,et al. Evaluating the intelligibility benefit of speech modifications in known noise conditions , 2013, Speech Commun..
[4] Zoubin Ghahramani,et al. Local and global sparse Gaussian process approximations , 2007, AISTATS.
[5] Catherine L. Rogers,et al. Conversational and clear speech intelligibility of /bVd/ syllables produced by native and non-native English speakers. , 2010, The Journal of the Acoustical Society of America.
[6] L D Braida,et al. Intelligibility of conversational and clear speech in noise and reverberation for listeners with normal and impaired hearing. , 1994, The Journal of the Acoustical Society of America.
[7] Philipos C. Loizou,et al. Reasons why Current Speech-Enhancement Algorithms do not Improve Speech Intelligibility and Suggested Solutions , 2011, IEEE Transactions on Audio, Speech, and Language Processing.
[8] W. Bastiaan Kleijn,et al. A bayesian hierarchical mixture of experts approach to estimate speech quality , 2010, 2010 Second International Workshop on Quality of Multimedia Experience (QoMEX).
[9] Simon King,et al. Intelligibility enhancement of HMM-generated speech in additive noise by modifying Mel cepstral coefficients to increase the glimpse proportion , 2014, Comput. Speech Lang..
[10] M. V. Jambunathan. Some Properties of Beta and Gamma Distributions , 1954 .
[11] T Houtgast,et al. A physical method for measuring speech-transmission quality. , 1980, The Journal of the Acoustical Society of America.
[12] L. Dworsky. An Introduction to Probability , 2008 .
[13] R. Tibshirani,et al. Least angle regression , 2004, math/0406456.
[14] Wei Chu,et al. Gaussian Processes for Ordinal Regression , 2005, J. Mach. Learn. Res..
[15] W. Bastiaan Kleijn,et al. Feature set augmentation for enhancing the performance of a non-intrusive quality predictor , 2012, 2012 Fourth International Workshop on Quality of Multimedia Experience.
[16] Weisi Lin,et al. Non-intrusive Speech Quality Assessment with Support Vector Regression , 2010, MMM.
[17] Snr Recovery. NEAR END LISTENING ENHANCEMENT: SPEECH INTELLIGIBILITY IMPROVEMENT IN NOISY ENVIRONMENTS , 2006 .
[18] C. Rasmussen,et al. Gaussian Process Priors with Uncertain Inputs - Application to Multiple-Step Ahead Time Series Forecasting , 2002, NIPS.
[19] P. Flipsen,et al. Measuring the intelligibility of conversational speech in children , 2006, Clinical linguistics & phonetics.
[20] E. Coddington,et al. Theory of Ordinary Differential Equations , 1955 .
[21] Joyce Snell,et al. 6. Alternative Methods of Regression , 1996 .
[22] Werner Verhelst,et al. An overlap-add technique based on waveform similarity (WSOLA) for high quality time-scale modification of speech , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[23] Ute Jekosch,et al. Voice and Speech Quality Perception: Assessment and Evaluation , 2005 .
[24] Ton Kalker,et al. On the quality-assessment of reverberated speech , 2012, Speech Commun..
[25] Tiago H. Falk,et al. Nonintrusive speech quality estimation using Gaussian mixture models , 2006, IEEE Signal Processing Letters.
[26] Doh-Suk Kim,et al. ANIQUE: An Auditory Model for Single-Ended Speech Quality Estimation , 2005, IEEE Trans. Speech Audio Process..
[27] Athanasios Papoulis,et al. Probability, Random Variables and Stochastic Processes , 1965 .
[28] W. Bastiaan Kleijn,et al. Preservation of speech spectral dynamics enhances intelligibility , 2013, INTERSPEECH.
[29] Mike P. Hollier,et al. Non-intrusive speech-quality assessment using vocal-tract models , 2000 .
[30] Yi Hu,et al. Evaluation of Objective Quality Measures for Speech Enhancement , 2008, IEEE Transactions on Audio, Speech, and Language Processing.
[31] D. Abrams,et al. Right-Hemisphere Auditory Cortex Is Dominant for Coding Syllable Patterns in Speech , 2008, The Journal of Neuroscience.
[32] K. D. Kryter. Methods for the Calculation and Use of the Articulation Index , 1962 .
[33] Rainer Martin,et al. Spectral Domain Speech Enhancement Using HMM State-Dependent Super-Gaussian Priors , 2013, IEEE Signal Processing Letters.
[34] Richard C. Hendriks,et al. Optimizing Speech Intelligibility in a Noisy Environment: A unified view , 2015, IEEE Signal Processing Magazine.
[35] W. Bastiaan Kleijn,et al. Spectral Dynamics Recovery for Enhanced Speech Intelligibility in Noise , 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[36] Pascal Scalart,et al. Improved Signal-to-Noise Ratio Estimation for Speech Enhancement , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[37] Richard Heusdens,et al. A speech preprocessing strategy for intelligibility improvement in noise based on a perceptual distortion measure , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[38] J M Kates,et al. On using coherence to measure distortion in hearing aids. , 1992, The Journal of the Acoustical Society of America.
[39] W. Bastiaan Kleijn,et al. Multizone soundfield reproduction using orthogonal basis expansion , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[40] Jorma Rissanen,et al. The Minimum Description Length Principle in Coding and Modeling , 1998, IEEE Trans. Inf. Theory.
[41] James M Kates,et al. Coherence and the speech intelligibility index. , 2004, The Journal of the Acoustical Society of America.
[42] Simon King,et al. The listening talker: A review of human and algorithmic context-induced modifications of speech , 2014, Comput. Speech Lang..
[43] Jesper Jensen,et al. An Algorithm for Intelligibility Prediction of Time–Frequency Weighted Noisy Speech , 2011, IEEE Transactions on Audio, Speech, and Language Processing.
[44] David J. C. MacKay,et al. Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.
[45] Jacob Benesty,et al. Springer handbook of speech processing , 2007, Springer Handbooks.
[46] Rainer Martin,et al. Objective Intelligibility Measures Based on Mutual Information for Speech Subjected to Speech Enhancement Processing , 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[47] Bert de Vries,et al. Discrete Choice Models for Non-Intrusive Quality Assessment , 2011, INTERSPEECH.
[48] William M. Hartmann,et al. Psychoacoustics: Facts and Models , 2001 .
[49] R. Courant,et al. Methods of Mathematical Physics , 1962 .
[50] A. Nabelek,et al. Effect of noise and reverberation on binaural and monaural word identification by subjects with various audiograms. , 1981, Journal of speech and hearing research.
[51] Matti Karjalainen,et al. A new auditory model for the evaluation of sound quality of audio systems , 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.
[52] Martin Cooke,et al. Information-preserving temporal reallocation of speech in the presence of fluctuating maskers , 2013, INTERSPEECH.
[53] W. Bastiaan Kleijn,et al. On causal algorithms for speech enhancement , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[54] W. Bastiaan Kleijn,et al. A Bayesian approach to non-intrusive quality assessment of speech , 2009, INTERSPEECH.
[55] Martin Cooke,et al. A glimpsing model of speech perception in noise. , 2006, The Journal of the Acoustical Society of America.
[56] W. Bastiaan Kleijn,et al. Probabilistic non-intrusive quality assessment of speech for bounded-scale preference scores , 2010, 2010 Second International Workshop on Quality of Multimedia Experience (QoMEX).
[57] Richard Heusdens,et al. Speech energy redistribution for intelligibility improvement in noise based on a perceptual distortion measure , 2014, Comput. Speech Lang..
[58] R. Niederjohn,et al. The enhancement of speech intelligibility in high noise levels by high-pass filtering followed by rapid amplitude compression , 1976 .
[59] E. Owens,et al. An Introduction to the Psychology of Hearing , 1997 .
[60] Frank K. Soong,et al. High performance connected digit recognition, using hidden Markov models , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.
[61] S. Ferrari,et al. Beta Regression for Modelling Rates and Proportions , 2004 .
[62] Frank Lad,et al. Two Moments of the Logitnormal Distribution , 2008, Commun. Stat. Simul. Comput..
[63] Charles M. Grinstead,et al. Introduction to probability , 1999, Statistics for the Behavioural Sciences.
[64] Carl E. Rasmussen,et al. A Unifying View of Sparse Approximate Gaussian Process Regression , 2005, J. Mach. Learn. Res..
[65] J. Berger,et al. P.563—The ITU-T Standard for Single-Ended Speech Quality Assessment , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[66] Morris Tenenbaum,et al. Ordinary differential equations : an elementary textbook for students of mathematics, engineering, and the sciences , 1963 .
[67] Mark E. J. Newman,et al. Power-Law Distributions in Empirical Data , 2007, SIAM Rev..
[68] Hugo Fastl,et al. Psychoacoustics: Facts and Models , 1990 .
[69] Jesper Jensen,et al. DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement , 2013, DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement.
[70] C Elberling,et al. Non-linear signal processing in digital hearing aids. , 1998, Scandinavian audiology. Supplementum.
[71] William Feller,et al. An Introduction to Probability Theory and Its Applications , 1967 .
[72] Bosman Aj,et al. Intelligibility of Dutch CVC Syllables and Sentences for Listeners with Normal Hearing and with Three Types of Hearing Impairment , 1995 .
[73] Gustav Eje Henter,et al. Enhancing Subjective Speech Intelligibility Using a Statistical Model of Speech , 2012, INTERSPEECH.
[74] W. Bastiaan Kleijn,et al. Objective quality estimation of wide-band speech using a narrow-band prior , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.
[75] David Poeppel,et al. Cortical oscillations and speech processing: emerging computational principles and operations , 2012, Nature Neuroscience.
[76] Birger Kollmeier,et al. PEMO-Q—A New Method for Objective Audio Quality Assessment Using a Model of Auditory Perception , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[77] W. Bastiaan Kleijn,et al. Low-Complexity, Nonintrusive Speech Quality Assessment , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[78] Oded Ghitza,et al. Objective Assessment of Speech and Audio Quality - Technology and Applications , 2006, IEEE Trans. Speech Audio Process..
[79] Mike Brookes,et al. C-Qual—A Validation of PESQ Using Degradations Encountered in Forensic and Law Enforcement Audio , 2010 .
[80] Tom Heskes,et al. Multi-task preference learning with an application to hearing aid personalization , 2010, Neurocomputing.
[81] W. Bastiaan Kleijn,et al. A Hierarchical Bayesian Approach to Modeling Heterogeneity in Speech Quality Assessment , 2012, IEEE Transactions on Audio, Speech, and Language Processing.
[82] Jont B. Allen. Consonant recognition and the articulation index. , 2005, Journal of the Acoustical Society of America.
[83] T Dau,et al. A quantitative model of the "effective" signal processing in the auditory system. I. Model structure. , 1996, The Journal of the Acoustical Society of America.
[84] Gerardo Hermosillo,et al. Supervised learning from multiple experts: whom to trust when everyone lies a bit , 2009, ICML '09.
[85] Yannis Stylianou,et al. Speech-in-noise intelligibility improvement based on spectral shaping and dynamic range compression , 2012, INTERSPEECH.
[86] Neil D. Lawrence,et al. Fast Sparse Gaussian Process Methods: The Informative Vector Machine , 2002, NIPS.
[87] D. Poeppel,et al. Temporal context in speech processing and attentional stream selection: A behavioral and neural perspective , 2012, Brain and Language.
[88] Nasser M. Nasrabadi,et al. Pattern Recognition and Machine Learning , 2006, Technometrics.
[89] Stan Davis,et al. Comparison of Parametric Representations for Monosyllabic Word Recognition in Continuously Spoken Se , 1980 .
[90] Ehab Al-Shaer,et al. On the impact of loss and delay variation on Internet packet audio transmission , 2006, Comput. Commun..
[91] Garrett Stuck,et al. Introduction to Dynamical Systems , 2003 .
[92] Jesper Jensen,et al. On Optimal Linear Filtering of Speech for Near-End Listening Enhancement , 2013, IEEE Signal Processing Letters.
[93] B Hagerman,et al. Sentences for testing speech intelligibility in noise. , 1982, Scandinavian audiology.
[94] Dimitris Rizopoulos,et al. The logistic transform for bounded outcome scores. , 2007, Biostatistics.
[95] Paavo Alku,et al. An adaptive post-filtering method producing an artificial Lombard-like effect for intelligibility enhancement of narrowband telephone speech , 2014, Comput. Speech Lang..
[96] Yan Tang,et al. Optimised spectral weightings for noise-dependent speech intelligibility enhancement , 2012, INTERSPEECH.
[97] N I Durlach,et al. Speaking clearly for the hard of hearing I: Intelligibility differences between clear and conversational speech. , 1985, Journal of speech and hearing research.
[98] Yannis Stylianou,et al. Approaching speech intelligibility enhancement with inspiration from Lombard and Clear speaking styles , 2014, Comput. Speech Lang..
[99] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[100] Ann K. Syrdal,et al. An evaluation of the diagnostic rhyme test , 1998, Int. J. Speech Technol..
[101] Florian Heiss,et al. Discrete Choice Methods with Simulation , 2016 .
[102] Richard C. Hendriks,et al. A Simple Model of Speech Communication and its Application to Intelligibility Enhancement , 2015, IEEE Signal Processing Letters.
[103] J. Atchison,et al. Logistic-normal distributions:Some properties and uses , 1980 .
[104] H. Saunders,et al. Probability, Random Variables and Stochastic Processes (2nd Edition) , 1989 .
[105] Oded Ghitza,et al. Linking Speech Perception and Neurophysiology: Speech Decoding Guided by Cascaded Oscillators Locked to the Input Rhythm , 2011, Front. Psychology.
[106] Yi Hu,et al. Objective measures for predicting speech intelligibility in noisy conditions based on new band-importance functions. , 2009, The Journal of the Acoustical Society of America.
[107] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[108] Vijay Parsa,et al. Nonintrusive speech quality evaluation using an adaptive neurofuzzy inference system , 2005, IEEE Signal Processing Letters.
[109] Richard C. Hendriks,et al. Multizone Speech Reinforcement , 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[110] S. R. Broom,et al. VoIP Quality Assessment: Taking Account of the Edge-Device , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[111] J. C. Steinberg,et al. Factors Governing the Intelligibility of Speech Sounds , 1945 .
[112] Raymond L. Goldsworthy,et al. Analysis of speech-based Speech Transmission Index methods with implications for nonlinear operations. , 2004, The Journal of the Acoustical Society of America.
[113] Jont B. Allen,et al. How do humans process and recognize speech? , 1993, IEEE Trans. Speech Audio Process..
[114] Tiago H. Falk,et al. A Non-Intrusive Quality and Intelligibility Measure of Reverberant and Dereverberated Speech , 2010, IEEE Transactions on Audio, Speech, and Language Processing.
[115] Tiago H. Falk,et al. Single-Ended Speech Quality Measurement Using Machine Learning Methods , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[116] T. Houtgast,et al. The Modulation Transfer Function in Room Acoustics as a Predictor of Speech Intelligibility , 1973 .
[117] Yannis Stylianou,et al. Can modified casual speech reach the intelligibility of clear speech? , 2012, INTERSPEECH.
[118] Yannis Stylianou,et al. Time-scale modifications based on a full-band adaptive harmonic model , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[119] Doh-Suk Kim,et al. ANIQUE+: A new American national standard for non-intrusive estimation of narrowband speech quality , 2007, Bell Labs Technical Journal.
[120] Gustav Eje Henter,et al. Maximizing Phoneme Recognition Accuracy for Enhanced Speech Intelligibility in Noise , 2013, IEEE Transactions on Audio, Speech, and Language Processing.
[121] J. C. Krause,et al. Acoustic properties of naturally produced clear speech at normal speaking rates. , 1996, The Journal of the Acoustical Society of America.
[122] Jont B. Allen,et al. Articulation and Intelligibility , 2005, Synthesis Lectures on Speech and Audio Processing.
[123] William Feller,et al. An Introduction to Probability Theory and Its Applications , 1951 .
[124] T. Picton,et al. Human Cortical Responses to the Speech Envelope , 2008, Ear and hearing.
[125] Philippe Girard,et al. Bayesian Analysis of Autocorrelated Ordered Categorical Data for Industrial Quality Monitoring , 2001, Technometrics.
[126] Torsten Dau,et al. Prediction of speech intelligibility based on an auditory preprocessing model , 2010, Speech Commun..
[127] Harvey b. Fletcher,et al. Speech and hearing in communication , 1953 .
[128] DeLiang Wang,et al. Isolating the energetic component of speech-on-speech masking with ideal time-frequency segregation. , 2006, The Journal of the Acoustical Society of America.
[129] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[130] R. McKelvey,et al. A statistical model for the analysis of ordinal level dependent variables , 1975 .