“Any sufficiently advanced technology is indistinguishable from magic”. Arthur C. Clarke

Methylphenidate Mediated Change in Prosody is Specific to the Performance of a Cognitive Task in Female Adult ADHD Patients

FubMed, 06 May, 2015

Recent research, carried out for the past 8 years, led by Dr. Yuval Bloch, head of the cognitive laboratory in “Shalvata Mental Health Care Center” in Israel, confirms the hypothesis that the production of specific voice characteristics would be influenced by Methylphenidate therapy while ADHD patient is performing a cognitive task but not while performing an emotional task. ADHD patients were recorded while performing a cognitive task and an emotional task pre-post using Methylphenidate….

Speech Analysis in Financial Markets

Foundations and Trends® in Accounting-Vol 7-Issue 2, 01 Mar, 2013

A Recent research by William J. Mayew and Mohan Venkatachalam from Fuqua School of Business , Duke University, North Carolina. The purpose of this review (aka – the research conclusion) is to describe and expand upon research that examines nonverbal communication in financial markets.  …it can be useful in capital markets given the ubiquitous availability of other competing information is novel… we foresee tremendous opportunities for researchers to grow this budding area of research. We believe that a deeper understanding of the relevance and usefulness of the vocal component of nonverbal communication will be a useful starting point for exploration of other aspects of nonverbal communication such as facial expressions and gestures…

Vocal Analysis Software for Security Screening: Validity and Deception Detection Potential

Homeland Security Affairs Journal, March 2012

DHS Centers of Excellence Science and Technology Student Papers, Elkins, Aaron C., Judee Burgoon, and Jay Nunamaker. “This research examines how reliable and valid commercial vocal analysis software is for predicting emotion and deception in security screening contexts using experimental methods. While research exists that evaluates current vocal analysis software’s built-in classifications, there is gap in our understanding on how it may actually perform in a real high stakes environment…”

Analyzing Speech to Detect Financial Misreporting

Journal of Accounting Research, Volume 50, Issue 2, pages 349–392, May 2012

ABSTRACTWe examine whether vocal markers of cognitive dissonance are useful for detecting financial misreporting. We use speech samples of CEOs during earnings conference calls, and generate vocal dissonance markers using automated vocal emotion analysis software. We begin by assessing construct validity for the software-generated dissonance markers by correlating them with four dissonance-from-misreporting proxies obtained in a laboratory setting. We find a positive association between these proxies and vocal dissonance markers generated by the software, suggesting the software’s dissonance markers have construct validity…

The Power of Voice: Managerial Affective States and Future Firm Performance

The Journal of Finance Volume 67, Issue 1, pages 1–44, February 2012, Duke University – Fuqua school of business

Jessen L. Hobson (College of Business, Illinois), William J. Mayew and Mohan Venkatachalam, Fuqua School of Business, Duke University.

ABSTRACT: We measure managerial affective states during earnings conference calls by analyzing conference call audio files using vocal emotion analysis software. We hypothesize and find that, when managers are scrutinized by analysts during conference calls, positive and negative affects displayed by managers are informative about the firm’s financial future…

Vocalic Markers of Deception and Cognitive Dissonance for Automated Emotion Detection Systems

Elkins, Aaron C., Ph.D., THE UNIVERSITY OF ARIZONA, 2011, 184 pages; 3473611

ABSTRACTThis dissertation investigates vocal behavior, measured using standard acoustic and commercial vocal analysis software, as it occurs naturally while lying, experiencing cognitive dissonance, or receiving a security interview conducted by an Embodied Conversational Agent (ECA).

Layered Voice Analysis Based Determination of Personality Traits

 Australasian Medical Journal; Aug2010, Vol. 3 Issue 8, p521


Manchireddy, Brinda; Sadaf, Sumaiyah; Kamalesh, Joseph
Research by Mamata Medical College correlating 16PF personality test with LVA emotional readings.

ABSTRACT:  “Introduction Voice opens a door through which emotions fleetly escape analogous to actions manifesting one’s personality traits. Voice analysis is the study of speech sounds for purposes other than linguistic content, such as in speech recognition. Layered voice analysis identifies various types of stress levels, cognitive processes, and emotional reactions that are reflected in different properties of the voice.

"Voice lie detector" Utilization Research for lie detection - Study by South Korean police polygraph unit

Korean Jurnal of Polygraph,  2010

Comparisson between polygraph and LVA 6.50 results. (Translated from Korean) Polygraph test results, as determined by the polygraph examiners of Seoul Metropolitan Police Agency were classified to one of the following: True Reaction (NDI), False Reaction (DI), Inconclusive (INC). Layered Voice Analyzer (LVA) test results data collected statements from the vocal input facility.

Reliability and Validity of Layered Voice Analysis technology in the detection of mental stress

“Seishin Igaku” (Psychiatry) Magazine, October 2008 – ISSN: 0488-1281, ISBN: 05627

Nemoto K1, Tachikawa H1, Takao T1, Sato H1, Ashizawa Y1, Endo G1, Tanaka K1, Ishii R1, Ishii N1, Hashimoto K1, Iguchi T1, Hada S2, Hori M3 and Asada T3

1Psycholosoft, 1-1-1 Tennodai, Tsukuba, Japan; 2Alegria Co., Ltd., Tokyo, Japan; 3Dept. of Psychiatry, Univ. of Tsukuba, Tsukuba, Japan.

A Robotic KANSEI Communication System Based on Emotional Synchronization

2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, Acropolis Convention Center, Nice, France, Sept, 22-26, 2008

Hashimoto, Minoru (Shinshu University), Yamano, Misaki (Shinshu University), Usui, Tatsuya (Shinshu University), 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sept, 22-26, 2008, Acropolis Convention Center, Nice, France.


Research by Shinshu University, Japan, using Nemesysco’s emotion detection technology to improve human-machine communication.

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