Subject: Re: Rap vocals From: Jonas Obleser <000003bf3ed0c35d-dmarc-request@xxxxxxxx> Date: Fri, 7 Mar 2025 07:20:27 +0100--Apple-Mail-76F94285-D48C-474F-B663-01454F163BBB Content-Type: text/html; charset=utf-8 Content-Transfer-Encoding: quoted-printable <html><head><meta http-equiv=3D"content-type" content=3D"text/html; charset=3D= utf-8"></head><body dir=3D"auto">Dear Robert,<div><br><div>I do not know of s= uch database, but I am generally very impressed with the advantages of machi= ne learning/pre-trained models to separate vocal tracks out of full audio mi= xes. There are many commercial solutions (such as Moises.ai), and also Logic= Pro as a widely used and quite affordable digital audio workstation has a f= eature they call =E2=80=9Cseparate stems=E2=80=9D which does exactly that. Y= ou might be able to obtain acapella rap/hip hop tracks in much less time tha= n one might have thought two years ago or so. </div><div><br></div><div= >Best wishes, Jonas <br><div dir=3D"ltr"><div><br></div><div>Prof. Dr. J= onas Obleser</div><div>Chair in Physiological Psychology and Research Method= s</div><div><br></div><div>Department of Psychology</div><div>University of L= =C3=BCbeck</div><div>MFC VIII, Maria-Goeppert-Stra=C3=9Fe 9a</div><div>23562= L=C3=BCbeck, Germany</div><div><br></div><div>Phone +49 (0)451 3101 3620</d= iv><div>jonas.obleser@xxxxxxxx</div><div><div>Meeting room https://uni= -luebeck.webex.com/meet/jonas.obleser</div></div><div><br></div><div>=E2=80=94= sent from mobile device =E2=80=93</div></div><div dir=3D"ltr"><br><br id=3D= "lineBreakAtBeginningOfSignature"><div dir=3D"ltr"><div><br></div><div><br><= /div><div>Prof. Dr. Jonas Obleser</div><div>Chair in Physiological Psycholog= y and Research Methods</div><div><br></div><div>Department of Psychology</di= v><div>University of L=C3=BCbeck</div><div>MFC VIII, Maria-Goeppert-Stra=C3=9F= e 9a</div><div>23562 L=C3=BCbeck, Germany</div><div><br></div><div>Phone +49= (0)451 3101 3620</div><div>jonas.obleser@xxxxxxxx</div><div><div>Meet= ing room https://uni-luebeck.webex.com/meet/jonas.obleser</div></div><div><b= r></div><div>=E2=80=94 sent from mobile device =E2=80=93</div></div><blockqu= ote type=3D"cite">On 7. Mar 2025, at 06:32, Robert J Zatorre, Dr <robert.= zatorre@xxxxxxxx> wrote:<br><br></blockquote></div><blockquote type=3D"c= ite"><div dir=3D"ltr">=EF=BB=BF <meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3Diso-8859-1= "> <div class=3D"elementToProof" style=3D"font-family: Aptos, Aptos_EmbeddedFon= t, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 14pt; col= or: rgb(0, 0, 0);"> Dear colleagues</div> <div class=3D"elementToProof" style=3D"font-family: Aptos, Aptos_EmbeddedFon= t, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 14pt; col= or: rgb(0, 0, 0);"> <br> </div> <div class=3D"elementToProof" style=3D"font-family: Aptos, Aptos_EmbeddedFon= t, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 14pt; col= or: rgb(0, 0, 0);"> We are looking for audio recordings of rap or hip-hop music that contain onl= y the vocalizations, without any instrumental background. Does anybody know o= f such a database?</div> <div class=3D"elementToProof" style=3D"font-family: Aptos, Aptos_EmbeddedFon= t, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 14pt; col= or: rgb(0, 0, 0);"> <br> </div> <div class=3D"elementToProof" style=3D"font-family: Aptos, Aptos_EmbeddedFon= t, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 14pt; col= or: rgb(0, 0, 0);"> Alternatively, any databases of a capella singing in general would also be u= seful, if you can recommend any.</div> <div class=3D"elementToProof" style=3D"font-family: Aptos, Aptos_EmbeddedFon= t, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 14pt; col= or: rgb(0, 0, 0);"> <br> </div> <div class=3D"elementToProof" style=3D"font-family: Aptos, Aptos_EmbeddedFon= t, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 14pt; col= or: rgb(0, 0, 0);"> Thank you for your help and best wishes</div> <div class=3D"elementToProof" style=3D"font-family: Aptos, Aptos_EmbeddedFon= t, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 14pt; col= or: rgb(0, 0, 0);"> <br> Robert</div> <div class=3D"elementToProof" style=3D"font-family: Aptos, Aptos_EmbeddedFon= t, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 14pt; col= or: rgb(0, 0, 0);"> <br> </div> <div id=3D"Signature" class=3D"elementToProof"> <div style=3D"font-family: Calibri, Arial, Helvetica, sans-serif; font-size:= 14pt; color: rgb(0, 0, 0);"> <div><Outlook-z5r5hu2h.png></div></div> <div style=3D"font-family: Calibri, Arial, Helvetica, sans-serif; font-size:= 14pt; color: rgb(0, 0, 0);"> Robert Zatorre, PhD</div> <div style=3D"font-family: Calibri, Arial, Helvetica, sans-serif; font-size:= 14pt; color: rgb(0, 0, 0);"> Professor and Canada Research Chair</div> <div style=3D"font-family: Calibri, Arial, Helvetica, sans-serif; font-size:= 14pt; color: rgb(0, 0, 0);"> Montreal Neurological Institute</div> <div style=3D"font-family: Calibri, Arial, Helvetica, sans-serif; font-size:= 14pt; color: rgb(0, 0, 0);"> McGill University</div> <div style=3D"font-family: Calibri, Arial, Helvetica, sans-serif; font-size:= 14pt; color: rgb(0, 0, 0);"> 3801 University</div> <div style=3D"font-family: Calibri, Arial, Helvetica, sans-serif; font-size:= 14pt; color: rgb(0, 0, 0);"> Montreal QC H3A2B4</div> <div style=3D"font-family: Calibri, Arial, Helvetica, sans-serif; font-size:= 14pt; color: rgb(0, 0, 0);"> Canada</div> <div style=3D"font-family: Calibri, Arial, Helvetica, sans-serif; font-size:= 14pt; color: rgb(0, 0, 0);"> <a href=3D"https://global.oup.com/academic/product/from-perception-to-pleasu= re-9780197558287" title=3D"https://can01.safelinks.protection.outlook.com/?u= rl=3Dhttps%3A%2F%2Fglobal.oup.com%2Facademic%2Fproduct%2Ffrom-perception-to-= pleasure-9780197558287&data=3D05%7C01%7Crobert.zatorre%40mcgill.ca%7Cbfb= c5e800ed24ce1cf9e08dbbea21d95%7Ccd31967152e74a68afa9fcf8f89f09ea%7C0%7C0%7C6= 38313375844378842%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMz= IiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=3DS%2FBFp9mbBEe7s= lid9y34i1DlmQrEhBZk7YLerHnlBc8%3D&reserved=3D0">From Perception to Pleasure: The Neuroscience of Music and Why We Love It</a></d= iv> </div> </div></blockquote></div></div></body></html>= --Apple-Mail-76F94285-D48C-474F-B663-01454F163BBB--