seeking assistance for cross-cultural music research at Harvard (Samuel Mehr )


Subject: seeking assistance for cross-cultural music research at Harvard
From:    Samuel Mehr  <sam@xxxxxxxx>
Date:    Sun, 31 Jul 2016 22:17:33 +1200
List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>

--001a1140c2fa155f7b0538ebcda2 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: quoted-printable Dear colleagues, Last year I contacted the Auditory list to recruit volunteers for the Natural History of Song project, a large effort to study vocal music from around the world using ethnographic text and field recordings. Many thanks to those who have volunteered and have worked with us over the past few months! We have recently expanded our corps of listeners and coders to include a group of ethnomusicologists, recruited through the Society of Ethnomusicology, and so I thought I would send a second message here to see if any others were interested in joining the project for the next two months as we finish up data collection. A description of the project and what's involved for volunteers is copied below =E2=80=94 please contact me if you are interested in participating! best, Sam --=20 Samuel Mehr Presidential Scholar // Harvard Graduate School of Education Affiliate // Lab for Developmental Studies + Evolutionary Psychology Lab 806 William James Hall // (617) 384-9093 // mehr.cz <http://s.mehr.cz/> -- In the Natural History of Song project, we have assembled a database of 118 field recordings from hunter-gatherers, pastoralists, and other small-scale societies. Each has been transcribed by a team of musicians with efforts made to reduce a variety of potential biases present in traditional staff notation. For instance, we do not impose any particular meter on the transcription, nor do we segment melodies into what we hear as different phrases =E2=80=94 the transcriptions are just an effort to get a rough sket= ch of the pitches and rhythms present in the singing. With the raw audio and transcriptions, we are now coding a variety of musical features of each song, with the help of a team of volunteers from a variety of musical backgrounds. Each volunteer listens to each of the 118 tracks, while reading the transcriptions, and answers a series of questions about the song. Some questions are pretty objective (e.g., "is there more than one person singing?") but others are highly subjective and somewhat controversial (e.g., "is there a tonal center?"). The idea is to get input from as many expert listeners as possible, so that we can begin to characterize which features have agreement among many listeners and which do not. This is an interesting question in its own right from the perspective of music perception research, but it will also help us to guide analyses comparing the songs to one another across behavioral contexts (like lullaby vs. love song) and across world regions. Anyone with training in music theory and/or ethnomusicology is welcome, and we are especially interested in hearing from those whose training is not in traditional Western music and/or those born in non-Western countries, to help diversify our team of listeners. At this time we do not have any compensation available, but volunteers will have first access to the datasets, if they are interested in collaborating with us on follow-up projects. The time commitment is modest; most coders work only a few hours per week for a few weeks, and all work can be done from anywhere in the world with an internet connection. The transcriptions and audio recordings are shared online and the coding is done via a simple and straightforward Google Form. If you or anyone you know is interested in helping us out, please write me at sam@xxxxxxxx This work is in collaboration with Manvir Singh, Nori Jacoby, Daniel Ketter, Daniel Pickens-Jones, Max Krasnow, Steven Pinker, and Luke Glowacki. It is based at Harvard's Evolutionary Psychology Lab. --001a1140c2fa155f7b0538ebcda2 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr"><span style=3D"font-size:12.8px">Dear colleagues,</span><d= iv><br></div><div>Last year I contacted the Auditory list to recruit volunt= eers for the Natural History of Song project,=C2=A0<span style=3D"font-size= :12.8px">a large effort to study vocal music from around the world using et= hnographic text and field recordings. Many thanks to those who have volunte= ered and have worked with us over the past few months!</span></div><div><sp= an style=3D"font-size:12.8px"><br></span></div><div><span style=3D"font-siz= e:12.8px">We have recently expanded our corps of listeners and coders to in= clude a group of ethnomusicologists, recruited through the Society of Ethno= musicology, and so I thought I would send a second message here to see if a= ny others were interested in joining the project for the next two months as= we finish up data collection.</span></div><div><span style=3D"font-size:12= .8px"><br></span></div><div><span style=3D"font-size:12.8px">A description = of the project and what&#39;s involved for volunteers is copied below =E2= =80=94 please contact me if you are interested in participating!</span></di= v><div><span style=3D"font-size:12.8px"><br></span></div><div><span style= =3D"font-size:12.8px">best,</span></div><div><span style=3D"font-size:12.8p= x">Sam</span></div><div><div style=3D"font-size:12.8px"><br></div><div styl= e=3D"font-size:12.8px"><span style=3D"font-size:small">--=C2=A0</span><br s= tyle=3D"font-size:small"><div class=3D"gmail_signature" style=3D"font-size:= small"><div dir=3D"ltr"><div dir=3D"ltr"><div dir=3D"ltr"><div dir=3D"ltr">= <div dir=3D"ltr"><div dir=3D"ltr"><div dir=3D"ltr"><div dir=3D"ltr"><div di= r=3D"ltr"><div style=3D"font-size:12.8px"><div style=3D"font-size:12.8px"><= div style=3D"font-size:12.8px"><div style=3D"font-size:12.8px"><div style= =3D"font-size:12.8px"><div style=3D"font-size:12.8px"><div style=3D"font-si= ze:12.8px"><font color=3D"#666666">Samuel Mehr<br></font></div><div style= =3D"font-size:12.8px"><font color=3D"#666666">Presidential Scholar // Harva= rd Graduate School of Education</font></div><div style=3D"font-size:12.8px"= ><font color=3D"#666666">Affiliate // Lab for Developmental Studies + Evolu= tionary Psychology Lab</font></div><div style=3D"font-size:12.8px"><span ti= tle=3D"Call with Google Voice" style=3D"font-size:12.8px;color:rgb(102,102,= 102)"><span style=3D"font-size:12.8px">806 William James Hall // (</span>61= 7) 384-9093</span><span style=3D"font-size:12.8px;color:rgb(102,102,102)">= =C2=A0//</span><span style=3D"font-size:12.8px;color:rgb(102,102,102)">=C2= =A0</span><a href=3D"http://s.mehr.cz/" target=3D"_blank" style=3D"font-siz= e:12.8px">mehr.cz</a></div></div></div></div></div></div></div></div></div>= </div></div></div></div></div></div></div></div></div><div style=3D"font-si= ze:12.8px">--</div><div style=3D"font-size:12.8px"><br></div><div style=3D"= font-size:12.8px">In the Natural History of Song project, we have assembled= a database of 118 field recordings from hunter-gatherers, pastoralists, an= d other small-scale societies. Each has been transcribed by a team of music= ians with efforts made to reduce a variety of potential biases present in t= raditional staff notation. For instance, we do not impose any particular me= ter on the transcription, nor do we segment melodies into what we hear as d= ifferent phrases =E2=80=94 the transcriptions are just an effort to get a r= ough sketch of the pitches and rhythms present in the singing.<div><br></di= v><div>With the raw audio and transcriptions, we are now coding a variety o= f musical features of each song, with the help of a team of volunteers from= a variety of musical backgrounds. Each volunteer listens to each of the 11= 8 tracks, while reading the transcriptions, and answers a series of questio= ns about the song. Some questions are pretty objective (e.g., &quot;is ther= e more than one person singing?&quot;) but others are highly subjective and= somewhat controversial (e.g., &quot;is there a tonal center?&quot;).</div>= <div><br></div><div>The idea is to get input from as many expert listeners = as possible, so that we can begin to characterize which features have agree= ment among many listeners and which do not. This is an interesting question= in its own right from the perspective of music perception research, but it= will also help us to guide analyses comparing the songs to one another acr= oss behavioral contexts (like lullaby vs. love song) and across world regio= ns.</div><div><br></div><div>Anyone with training in music theory and/or et= hnomusicology is welcome, and we are especially interested in hearing from = those whose training is not in traditional Western music and/or those born = in non-Western countries, to help diversify our team of listeners. At this = time we do not have any compensation available, but volunteers will have fi= rst access to the datasets, if they are interested in collaborating with us= on follow-up projects. The time commitment is modest; most coders work onl= y a few hours per week for a few weeks, and all work can be done from anywh= ere in the world with an internet connection. The transcriptions and audio = recordings are shared online and the coding is done via a simple and straig= htforward Google Form.=C2=A0</div><div><br>If you or anyone you know is int= erested in helping us out, please write me at=C2=A0<a href=3D"mailto:sam@xxxxxxxx= h.harvard.edu" target=3D"_blank">sam@xxxxxxxx</a>. This work is in c= ollaboration with Manvir Singh, Nori Jacoby, Daniel Ketter, Daniel Pickens-= Jones, Max Krasnow, Steven Pinker, and Luke Glowacki. It is based at Harvar= d&#39;s Evolutionary Psychology Lab.</div></div></div></div> --001a1140c2fa155f7b0538ebcda2--


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