Subject: Re: LIE DETECTION / VOCAL STRESS From: Prof Roger K Moore <r.k.moore(at)DCS.SHEF.AC.UK> Date: Fri, 21 Oct 2005 18:24:41 +0100This is a multi-part message in MIME format. ------=_NextPart_000_007D_01C5D66C.B4646EA0 Content-Type: text/plain; charset="US-ASCII" Content-Transfer-Encoding: 7bit Mick, Lie detection is commonly called 'Voice Stress Analysis' (VSA), and there are instruments and products available that purport to perform such a function. Most claim to function by detecting a change in so called 'micro-tremors' in the voice - however, the lack of any clear science means that there appears to be considerable confusion as to whether the jitter increases or decreases in lying! Some of the key references are below. I recently supervised an MSc project on the detection of 'deceptive stress' using a corpus of material we recorded ourselves. The key to obtaining 'real' lying is that there should be 'perceived jeopardy'. So, my student designed a knockout card naming game in which winning is only possible by lying from time to time - a monetary prize for the eventual winner provided the incentive to win. The student found that the lies could be detected above chance using average pitch but not using pitch jitter. Roger Moore References Darren Haddad, Sharon Walter, Roy Ratley, Megan Smith (2002). Investigation and Evaluation of Voice Stress Analysis Technology. The U.S. Department of Justice report (98-LB-VX-A013) Horvath, F., "Detecting Deception: The Promise and Reality of Voice Stress Analysis," Journal of Forensic Science, Vol. 27, No.1, Jan. 1980, pp. 340-351 Heisse, J. W., "Audio Stress Analysis-A Validation and Reliability Study of the Psychological Stress Evaluator (PSE)" in Proceedings of the Carnahan Conference on Crime Countermeasures, Lexington, KY, 1976, pp. 5-18 Darren Haddad, Sharon Walter, Roy Ratley, Megan Smith (2002). Investigation and Evaluation of Voice Stress Analysis Technology. The U.S. Department of Justice report (98-LB-VX-A013) H. Hollien et al, 'Voice Stress Evaluators and Lie Detection', Journal of Forensic Sciences (1987). ________________________________________________________________ Prof ROGER K MOORE BA(Hons) MSc PhD FIOA MIEE Chair of Spoken Language Processing Speech and Hearing Research Group (SPandH) Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Street, Sheffield, S1 4DP, UK e-mail: r.k.moore(at)dcs.shef.ac.uk web: http://www.dcs.shef.ac.uk/~roger/ tel: +44 (0) 11422 21807 fax: +44 (0) 11422 21810 mobile: +44 (0) 7910 073631 ________________________________________________________________ _____ From: AUDITORY Research in Auditory Perception [mailto:AUDITORY(at)LISTS.MCGILL.CA] On Behalf Of Michael Fulton Sent: 20 October 2005 17:22 To: AUDITORY(at)LISTS.MCGILL.CA Subject: [AUDITORY] LIE DETECTION / VOCAL STRESS Hi there, I have recently been asked to assist a Masters student with their final project on lie detection using only a speech signal. I was wondering if anyone knows of a few good references to get us started. The main areas we will be looking into are "voice stress" and would really appretiate if anyone could gives us some references about what the actual signs of a "lie" are when considering only the characteristics of the voice and not the speech context, body movement etc.. Also, does anyone know of a data base of 'lies' upon which such a system could be used, as collecting data of actual lies where there is some consequence of being found out is rather difficult. Thanx in advance for any help you can give us, Mick ------=_NextPart_000_007D_01C5D66C.B4646EA0 Content-Type: text/html; charset="US-ASCII" Content-Transfer-Encoding: quoted-printable <html xmlns:v=3D"urn:schemas-microsoft-com:vml" = xmlns:o=3D"urn:schemas-microsoft-com:office:office" = xmlns:w=3D"urn:schemas-microsoft-com:office:word" = xmlns:st1=3D"urn:schemas-microsoft-com:office:smarttags" = xmlns=3D"http://www.w3.org/TR/REC-html40"> <head> <meta http-equiv=3DContent-Type content=3D"text/html; = charset=3Dus-ascii"> <meta name=3DGenerator content=3D"Microsoft Word 11 (filtered medium)"> <!--[if !mso]> <style> v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} </style> <![endif]--><o:SmartTagType namespaceuri=3D"urn:schemas-microsoft-com:office:smarttags" = name=3D"State"/> <o:SmartTagType = namespaceuri=3D"urn:schemas-microsoft-com:office:smarttags" name=3D"country-region"/> <o:SmartTagType = namespaceuri=3D"urn:schemas-microsoft-com:office:smarttags" name=3D"PlaceName" downloadurl=3D"http://www.5iantlavalamp.com/"/> <o:SmartTagType = namespaceuri=3D"urn:schemas-microsoft-com:office:smarttags" name=3D"PlaceType"/> <o:SmartTagType = namespaceuri=3D"urn:schemas-microsoft-com:office:smarttags" name=3D"PostalCode"/> <o:SmartTagType = namespaceuri=3D"urn:schemas-microsoft-com:office:smarttags" name=3D"City" = downloadurl=3D"http://www.5iamas-microsoft-com:office:smarttags"/> <o:SmartTagType = namespaceuri=3D"urn:schemas-microsoft-com:office:smarttags" name=3D"place" downloadurl=3D"http://www.5iantlavalamp.com/"/> <o:SmartTagType = namespaceuri=3D"urn:schemas-microsoft-com:office:smarttags" name=3D"PersonName"/> <!--[if !mso]> <style> st1\:*{behavior:url(#default#ieooui) } </style> <![endif]--> <style> <!-- /* Font Definitions */ (at)font-face {font-family:Tahoma; panose-1:2 11 6 4 3 5 4 4 2 4;} /* Style Definitions */ p.MsoNormal, li.MsoNormal, div.MsoNormal {margin:0cm; margin-bottom:.0001pt; font-size:12.0pt; font-family:"Times New Roman";} a:link, span.MsoHyperlink {color:blue; text-decoration:underline;} a:visited, span.MsoHyperlinkFollowed {color:purple; text-decoration:underline;} p {mso-margin-top-alt:auto; margin-right:0cm; mso-margin-bottom-alt:auto; margin-left:0cm; font-size:12.0pt; font-family:"Times New Roman";} span.EmailStyle18 {mso-style-type:personal-reply; font-family:Arial; color:navy;} (at)page Section1 {size:595.3pt 841.9pt; margin:72.0pt 90.0pt 72.0pt 90.0pt;} div.Section1 {page:Section1;} --> </style> </head> <body lang=3DEN-GB link=3Dblue vlink=3Dpurple> <div class=3DSection1> <p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span = style=3D'font-size: 10.0pt;font-family:Arial;color:navy'>Mick,<o:p></o:p></span></font></p> <p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span = style=3D'font-size: 10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p> <p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span = style=3D'font-size: 10.0pt;font-family:Arial;color:navy'>Lie detection is commonly called = ‘Voice Stress Analysis’ (VSA), and there are instruments and products = available that purport to perform such a function. Most claim to function by detecting a change in so called ‘micro-tremors’ in the voice = – however, the lack of any clear science means that there appears to be considerable confusion as to whether the jitter increases or decreases = in lying! Some of the key references are below.<o:p></o:p></span></font></p> <p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span = style=3D'font-size: 10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p> <p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span = style=3D'font-size: 10.0pt;font-family:Arial;color:navy'>I recently supervised an MSc = project on the detection of ‘deceptive stress’ using a corpus of material = we recorded ourselves. The key to obtaining ‘real’ lying is that = there should be ‘perceived jeopardy’. So, my student = designed a knockout card naming game in which winning is only possible by lying = from time to time - a monetary prize for the eventual winner provided the = incentive to win. The student found that the lies could be detected above = chance using average pitch but not using pitch jitter.<o:p></o:p></span></font></p> <p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span = style=3D'font-size: 10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p> <p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span = style=3D'font-size: 10.0pt;font-family:Arial;color:navy'>Roger = Moore<o:p></o:p></span></font></p> <div = style=3D'mso-element:para-border-div;border:none;border-bottom:solid = windowtext 1.0pt; padding:0cm 0cm 1.0pt 0cm'> <p class=3DMsoNormal style=3D'border:none;padding:0cm'><font size=3D2 = color=3Dnavy face=3DArial><span = style=3D'font-size:10.0pt;font-family:Arial;color:navy'><o:p> </o:p>= </span></font></p> </div> <p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span = style=3D'font-size: 10.0pt;font-family:Arial;color:navy'>References<o:p></o:p></span></font><= /p> <p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span = style=3D'font-size: 10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p> <p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span = style=3D'font-size: 10.0pt;font-family:Arial;color:navy'>Darren Haddad, Sharon Walter, Roy = Ratley, Megan Smith (2002). Investigation and Evaluation of Voice Stress = Analysis Technology. The U.S. Department of Justice report = (98-LB-VX-A013)<o:p></o:p></span></font></p> <p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span = style=3D'font-size: 10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p> <p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span = style=3D'font-size: 10.0pt;font-family:Arial;color:navy'>Horvath, F., “Detecting = Deception: The Promise and Reality of Voice Stress Analysis,” Journal of = Forensic Science, Vol. 27, No.1, Jan. 1980, pp. = 340-351<o:p></o:p></span></font></p> <p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span = style=3D'font-size: 10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p> <p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span = style=3D'font-size: 10.0pt;font-family:Arial;color:navy'>Heisse, J. W., “Audio Stress Analysis—A Validation and Reliability Study of the Psychological = Stress Evaluator (PSE)” in Proceedings of the Carnahan Conference on = Crime Countermeasures, <st1:place w:st=3D"on"><st1:City = w:st=3D"on">Lexington</st1:City>, <st1:State w:st=3D"on">KY</st1:State></st1:place>, 1976, pp. = 5-18<o:p></o:p></span></font></p> <p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span = style=3D'font-size: 10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p> <p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span = style=3D'font-size: 10.0pt;font-family:Arial;color:navy'>Darren Haddad, Sharon Walter, Roy = Ratley, Megan Smith (2002). Investigation and Evaluation of Voice Stress = Analysis Technology. The U.S. Department of Justice report = (98-LB-VX-A013)<o:p></o:p></span></font></p> <p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span = style=3D'font-size: 10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p> <p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span = style=3D'font-size: 10.0pt;font-family:Arial;color:navy'>H. Hollien et al, 'Voice Stress = Evaluators and Lie Detection', Journal of Forensic Sciences = (1987).<o:p></o:p></span></font></p> <p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span = style=3D'font-size: 10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p> <div> <p><font size=3D2 color=3Dnavy face=3D"Times New Roman"><span = style=3D'font-size:10.0pt; color:navy'>_____________________________________________________________= ___<br> <br> Prof ROGER K MOORE BA(Hons) MSc PhD FIOA MIEE<br> <br> Chair of Spoken Language Processing<br> Speech and Hearing Research Group (SPandH)<br> Department of Computer Science, <st1:place w:st=3D"on"><st1:PlaceType = w:st=3D"on">University</st1:PlaceType> of <st1:PlaceName = w:st=3D"on">Sheffield</st1:PlaceName></st1:place>,<br> Regent Court, <st1:place w:st=3D"on">211 Portobello Street, <st1:City = w:st=3D"on">Sheffield</st1:City>, <st1:PostalCode w:st=3D"on">S1 4DP</st1:PostalCode>, = <st1:country-region w:st=3D"on">UK</st1:country-region></st1:place><br> <br> e-mail: <st1:PersonName = w:st=3D"on">r.k.moore(at)dcs.shef.ac.uk</st1:PersonName><br> web: <a = href=3D"http://www.dcs.shef.ac.uk/~roger/">http://www.dcs.shef.ac.uk/~rog= er/</a><br> tel: +44 (0) 11422 21807<br> fax: +44 (0) 11422 21810<br> mobile: +44 (0) 7910 073631<br> ________________________________________________________________</span></= font><font color=3Dnavy><span style=3D'color:navy'> </span></font><o:p></o:p></p> </div> <div style=3D'border:none;border-left:solid blue 1.5pt;padding:0cm 0cm = 0cm 4.0pt'> <div> <div class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><font = size=3D3 face=3D"Times New Roman"><span lang=3DEN-US style=3D'font-size:12.0pt'> <hr size=3D2 width=3D"100%" align=3Dcenter tabindex=3D-1> </span></font></div> <p class=3DMsoNormal><b><font size=3D2 face=3DTahoma><span lang=3DEN-US style=3D'font-size:10.0pt;font-family:Tahoma;font-weight:bold'>From:</spa= n></font></b><font size=3D2 face=3DTahoma><span lang=3DEN-US = style=3D'font-size:10.0pt;font-family:Tahoma'> AUDITORY Research in Auditory Perception = [mailto:AUDITORY(at)LISTS.MCGILL.CA] <b><span style=3D'font-weight:bold'>On Behalf Of </span></b>Michael Fulton<br> <b><span style=3D'font-weight:bold'>Sent:</span></b> 20 October 2005 = 17:22<br> <b><span style=3D'font-weight:bold'>To:</span></b> = AUDITORY(at)LISTS.MCGILL.CA<br> <b><span style=3D'font-weight:bold'>Subject:</span></b> [AUDITORY] LIE = DETECTION / VOCAL STRESS</span></font><span lang=3DEN-US><o:p></o:p></span></p> </div> <p class=3DMsoNormal><font size=3D3 face=3D"Times New Roman"><span = style=3D'font-size: 12.0pt'><o:p> </o:p></span></font></p> <div> <p><font size=3D3 face=3D"Times New Roman"><span = style=3D'font-size:12.0pt'>Hi there,<o:p></o:p></span></font></p> <p><font size=3D3 face=3D"Times New Roman"><span = style=3D'font-size:12.0pt'>I have recently been asked to assist a Masters student with their final project = on lie detection using only a speech signal. I was wondering if anyone knows of = a few good references to get us started. The main areas we will be looking = into are "voice stress" and would really appretiate if anyone could = gives us some references about what the actual signs of a "lie" are = when considering only the characteristics of the voice and not the speech = context, body movement etc..<o:p></o:p></span></font></p> <p><font size=3D3 face=3D"Times New Roman"><span = style=3D'font-size:12.0pt'>Also, does anyone know of a data base of 'lies' upon which such a system could = be used, as collecting data of actual lies where there is some consequence = of being found out is rather difficult.<o:p></o:p></span></font></p> <p><font size=3D3 face=3D"Times New Roman"><span = style=3D'font-size:12.0pt'>Thanx in advance for any help you can give us,<o:p></o:p></span></font></p> <p><font size=3D3 face=3D"Times New Roman"><span = style=3D'font-size:12.0pt'>Mick<o:p></o:p></span></font></p> </div> </div> </div> </body> </html> ------=_NextPart_000_007D_01C5D66C.B4646EA0--