CABank Spanish CallHome Corpus

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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

This is the Spanish portion of CallHome.

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 200 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.

Although the goal of the call collection effort was to have unique speakers in all calls, a handful of repeat speakers are included in the corpus. In all, 200 calls were transcribed. Of these, 80 have been designated as training calls, 20 as development test calls, and 100 as evaluation test calls. For each of the training and development test calls, a contiguous 10-minute region was selected for transcription; for the evaluation test calls, a 5-minute region was transcribed. For the present publication, only 20 of the evaluation test calls are being released; the remaining 80 test calls are being held in reserve for future LVCSR benchmark tests.

After a successful call was completed, a human audit of each telephone call was conducted to verify that the proper language was spoken, to check the quality of the recording, and to select and describe the region to be transcribed. The description of the transcribed region provides information about channel quality, number of speakers, their gender, and other attributes.

File	Sex	Age	Age
sp_0053		30	16
sp_0054		56	22
sp_0082		39	14
sp_0084		32	12
sp_0088		37	15
sp_0616
sp_0681			15
sp_0687
sp_0699		29	17
sp_0707
sp_0737
sp_0776
sp_0857		20	17
sp_0912		56	22
sp_0934
sp_0937		25	19
sp_0943
sp_0970
sp_1015		30	10
sp_1031
sp_1046
sp_1059
sp_1074			22
sp_1084		32	20
sp_1100
sp_1142		29	19
sp_1143		34	20
sp_1148		34	16
sp_1156		32	10
sp_1157			21
sp_1163		35	19
sp_1186			19
sp_1212		22	16
sp_1219		37	16
sp_1295		27	15
sp_1343		31	20
sp_1345		29	14
sp_1362
sp_1427
sp_1435		25	16
sp_1438		21	16
sp_1553
sp_1577
sp_1578
sp_1587
sp_1592
sp_1594
sp_1596		30	21
sp_1643		40	16
sp_1644
sp_1648
sp_1651
sp_1654		39	16
sp_1673
sp_1720		28	20
sp_1747			18
sp_1748
sp_1784		20	2
sp_1785
sp_1789
sp_1807		26	17
sp_1813		19	13
sp_1814		19	13
sp_1827
sp_1829		20	15
sp_1847		37	12
sp_1850		74	12
sp_1858		20	12
sp_1904
sp_1923		23	18
sp_1926			14
sp_1931
sp_1933		58	14
sp_1934
sp_1940
sp_1953		37	16
sp_1954		20	15
sp_1955		26	17
sp_1963		19	13
sp_2003		28	14
sp_2010
sp_2023		28	14
sp_2024		25	20
sp_2036		21	14
sp_2046		20	14
sp_2049
sp_2061
sp_2067
sp_2069		20	14
sp_2077
sp_2078
sp_2079		24	18
sp_2082		20	14
sp_2083		19	13
sp_2086
sp_2114		28	18
sp_2155		48	14
sp_2158
sp_2164
sp_2168
sp_2173		40	10
sp_2174
sp_2175
sp_2179		20	14