Voices from Chernobyl / by Aleksievich, Svetlana, 1948-

Table of Contents: “…Translator's preface -- Historical note -- Prologue: A solitary human voice -- pt. I: The land of the dead : On why we remember ; About what can be talked about with the living and the dead ; About a whole life written down on doors ; By those who returned ; About what radiation looks like ; About a song without words ; About a homeland ; About how a person is only clever and refined in evil ; Soldiers' chorus -- pt. …”

Unified communications forensics : anatomy of common UC attacks / by Grant, Nicholas, 1978-

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Secure voice processing systems against malicious voice attacks / by Sun, Kun, Wang, Shu

Table of Contents: “…. -- 2 Modulated Audio Replay Attack and Dual-Domain Defense -- 2.1 Introduction -- 2.2 Modulated Replay Attacks -- 2.2.1 Impacts of Replay Components -- 2.2.2 Attack Overview -- 2.2.3 Modulation Processor -- 2.2.4 Inverse Filter Estimation -- 2.2.5 Spectrum Processing -- 2.3 Countermeasure: Dual-domain Detection -- 2.3.1 Defense Overview -- 2.3.2 Time-domain Defense -- 2.3.3 Frequency-domain Defense -- 2.3.4 Security Analysis -- 2.4 Evaluation -- -- 2.4.1 Experiment Setup -- -- 2.4.2 Effectiveness of Modulated Replay Attacks -- 2.4.3 Effectiveness of Dual-Domain Detection -- 2.4.4 Robustness of Dual-Domain Detection -- 2.4.5 Overhead of Dual-Domain Detection -- 2.5 Conclusion -- -- Appendix 2.A: Mathematical Proof of Ringing Artifacts in Modulated Replay Audio -- -- Appendix 2.B: Parameters in Detection Methods -- Appendix 2.C: Inverse Filter Implementation -- Appendix 2.D: Classifiers in Time-Domain Defense -- References -- 3 Secure Voice Processing Systems for Driverless Vehicles -- 3.1 Introduction -- 3.2 Threat Model and Assumptions -- 3.3 System Design -- 3.3.1 System Overview -- 3.3.2 Detecting Multiple Speakers -- 3.3.3 Identifying Human Voice -- 3.3.4 Identifying Driver's Voice -- 3.4 Experimental Results -- 3.4.1 Accuracy on Detecting Multiple Speakers -- 3.4.2 Accuracy on Detecting Human Voice -- 3.4.3 Accuracy on Detecting Driver's Voice -- 3.4.4 System Robustness -- 3.4.5 Performance Overhead -- 3.5 Discussions -- 3.6 Conclusion -- References -- 4 Acoustic Compensation System against Adversarial Voice Recognition -- 4.1 Introduction -- 4.2 Threat Model -- 4.2.1 Spectrum Reduction Attack -- 4.2.2 Threat Hypothesis -- 4.3 System Design -- 4.3.1 Overview -- 4.3.2 Spectrum Compensation Module -- 4.3.3 Noise Addition Module -- 4.3.4 Adaptation Module -- 4.4 Evaluations -- 4.4.1 Experiment Setup -- 4.4.2 ACE Evaluation -- 4.4.3 Spectrum Compensation Module Evaluation -- 4.4.4 Noise Addition Module Evaluation -- 4.4.5 Adaptation Module Evaluation -- 4.4.6 Overhead -- 4.5 Residual Error Analysis -- 4.5.1 Types of ASR Inference Errors -- 4.5.2 Error Composition Analysis -- 4.6 Discussions -- 4.6.1 Multipath Effect and Audio Quality Improvement -- 4.6.2 Usability -- 4.6.3 Countering Attack Variants -- 4.6.4 Limitations -- 4.7 Conclusion -- Appendix 4.A: Echo Module -- Appendix 4.B: ACE Performance tested with CMU Sphinx -- Appendix 4.C: ACE Performance against Attack Variants -- References -- 5 Conclusion and Future Work -- 5.1 Conclusion -- 5.2 Future Work -- References.…”
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Supercommunicator : explaining the complicated in a digital age / by Pietrucha, Frank J.

Table of Contents: “…Supercommunicator Basic Guidelines; Part VI: Humanize your Communications; 16. Find your Human Voice; 17. Speaking Human ... Without the Human; 18. …”
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Advances in mechatronics, robotics and automation II : selected, peer reviewed papers from the 2014 2nd International Conference on Mechatronics, Robotics and Automation (ICMRA 201...

Table of Contents: “…Emotional Analysis and Synthesis of Human Voice Based on STRAIGHTFusion of Polarization Image Based on Curvelet Transform; Human Face Expression Recognition Based on Feature Fusion; Image Defogging Based on Improved Guided Image Filtering; Image Recognition Based on Shape and Texture Features; Point Cloud Registration Method Based on Face-Mating after Denosing; Research on False Points Removing of Speech Segmentation; Research on Image Saliency Detection Model Based on Calculating the Probability of Objectness Likelihood.…”
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Communication acoustics : an introduction to speech, audio, and psychoacoustics / by Pulkki, Ville

Table of Contents: “…4.2.3 Impulse Response and Magnitude Response4.2.4 Phase Response; 4.2.5 Non-Linear Distortion; 4.2.6 Signal-to-Noise Ratio; 4.3 Response Equalization; Summary; Further Reading; References; Chapter 5 Human Voice; 5.1 Speech Production; 5.1.1 Speech Production Mechanism; 5.1.2 Vocal Folds and Phonation; 5.1.3 Vocal and Nasal Tract and Articulation; 5.1.4 Lip Radiation Measurements; 5.2 Units and Notation of Speech used in Phonetics; 5.2.1 Vowels; 5.2.2 Consonants; 5.2.3 Prosody and Suprasegmental Features; 5.3 Modelling of Speech Production; 5.3.1 Glottal Modelling; 5.3.2 Vocal Tract Modelling.…”
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