CABank German CallFriend Corpus

Media folder

Citation information

In accordance with TalkBank rules, any use of data from this corpus must be accompanied by at least one of the above references.

Project Description

The CallFriend German corpus of telephone speech was collected by the Linguistic Data Consortium primarily in support of the project on Language Identification (LID), sponsored by the U.S. Department of Defense.

This release of the CallFriend German corpus consists of 60 unscripted telephone conversations between native speakers of German. The recorded conversations last up to 30 minutes. All speakers were aware that they were being recorded. They were given no guidelines concerning what they should talk about. Once a caller was recruited to participate, he/she was given a free choice of whom to call. Most participants called family members or close friends. All calls originated in either the United States or Canada.

Speakers were solicited by the LDC to participate in this telephone speech collection effort via the internet, publications (advertisements), and personal contacts. A total of 100 call originators were found, each of whom placed a telephone call via a toll-free robot operator maintained by the LDC. Access to the robot operator was possible via a unique Personal Identification Number (PIN) issued by the recruiting staff at the LDC when the caller enrolled in the project. The participants were made aware that their telephone call would be recorded, as were the call recipients. The call was allowed only if both parties agreed to being recorded. Each caller was allowed to talk up to 30 minutes. Upon successful completion of the call, the caller was paid $20 (in addition to making a free long-distance telephone call). Each caller was allowed to place only one telephone call. After a successful call was completed, a human audit of each telephone call was conducted to verify that the proper language was spoken, and to check the quality of the recording.

File	Sex	Age	Ed	Place	phone
ge_1082
ge_1672
ge_2100
ge_4008	F	32	20	Sindelfingen	310453fgr
ge_4155	M	26	18	Kassel	914945ocs
ge_4312	F	32	14	Mainz	502942ojq
ge_4411	F	23	13	Germany	914471umm
ge_4494	M	24	18	Bonn	01144117942fam
ge_4497	M	49	17	Kassel	305563xir
ge_4499	F	34	17	Muenster	417271cfu
ge_4525	M	26	18	Munich	510849ghg
ge_4572	F	81	16	Essen	407638fgq
ge_4592	F	37	13	Baden Baden	202745sea
ge_4636	F	51	16	Duesseldorf	602648xij
ge_4989	M	34	20	Augsburg	701839kaf
ge_4999	M	24	18	Bad Alzunge	503344lfb
ge_5021	F	22	16	Wuppertal	301982nki
ge_5042	M	24	18	Cologne	714496shj
ge_5178	M	16	11	Cologne	814862rby
ge_5226	F	22	17	Berlin	301982nki
ge_5843	F	24	18	Cologne	407657all
ge_6056	M	25	17	Berlin	919968vjx
ge_6060	M	57	10	Duesseldorf	813867khr
ge_6136	F	19	13	Neumuenster	207866olm
ge_6360	F	60	12	Palestine	519842fop
ge_6369	F	42	18	Hessen	213658yoo
ge_6390	F	70	18	Augsburg	610544mai
ge_6394	M	54	16	Braunschweig	613836ocn
ge_6397	F	59	12	Hamburg	218525gcj
ge_6411	F	67	17	Bad_Wimpfen	310370udl
ge_6449	M	37	10	Allersberg	215698hag
ge_6464	F	61	15	Braunschweig	407452som
ge_6473	F	34	24	Cologne	810661tgu
ge_6481	F	69	18	Saaz	904785ujo
ge_6522	F	38	16	Gottingen	313761dga
ge_6537	F	25	16	Nuernberg	216630qdl
ge_6538	M	77	18	Cologne	602584emo
ge_6548	F	68	17	Berlin	517349tje
ge_6573	F	66	14	Berlin	703893yer
ge_6577	F	19	12	Constance	207783wor
ge_6590	F	37	11	Austria	703960rgy
ge_6595	M	17	12	Munich	860763paw
ge_6610	F	69	14	Nuernberg	512244tol
ge_6644	M	24	15	Markdorf	909592ylo
ge_6654	M	49	17	Heidenheim	313994rit
ge_6669	M	60	16	Berlin	708647jbp
ge_6683	M	26	19	Bierbach	908665vgm
ge_6684	M	26	18	Burgsal	318386mik
ge_6695	M	31	23	Munich	512302ibw
ge_6718	M	70	16	Berlin	313878rhu
ge_6780	M	24	14	Stuttgart	305667opg
ge_6806	M	30	19	Oldenburg	215727lfi
ge_6831	M	24	15	Stuttgart	301422oee
ge_6832	M	25	16	Schwenningen	703276jpt
ge_6846	M	27	21	Tuebingen	816627gje
ge_6853	M	24	17	Stuttgart	301422oee
ge_6918	F	60	16	Berlin	312275vln
ge_6940	M	23	15	Stuttgart	847432iai
ge_6972	M	30	17	Flensburg	215387rjq
ge_7038	M	26	16	Hoefen	860745ppp