2000 HUB5 English Evaluation Speech
|Item Name:||2000 HUB5 English Evaluation Speech|
|Author(s):||Linguistic Data Consortium|
|LDC Catalog No.:||LDC2002S09|
|Data Source(s):||telephone conversations|
LDC User Agreement for Non-Members
|Online Documentation:||LDC2002S09 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Linguistic Data Consortium. 2000 HUB5 English Evaluation Speech LDC2002S09. Web Download. Philadelphia: Linguistic Data Consortium, 2002.|
2000 HUB5 English Evaluation was developed by the Linguistic Data Consortium (LDC) and consists of English conversational telephone speech used in the 2000 HUB5 evaluation sponsored by NIST (National Institute of Standards and Technology).
The Hub5 evaluation series focused on conversational speech over the telephone with the particular task of transcribing conversational speech into text. Its goals were to explore promising new areas in the recognition of conversational speech, to develop advanced technology incorporating those ideas and to measure the performance of new technology. Further information about the evaluation can be found on the NIST HUB5 website.
The source data consists of conversational telephone speech collected by LDC: (1) 20 unreleased telephone conversations from the Swtichboard studies in which recruited speakers were connected through a robot operator to carry on casual conversations about a daily topic announced by the robot operator at the start of the call; and (2) 20 telephone conversations from CALLHOME American English Speech which consists of unscripted telephone conversations between native English speakers.
The audio files are two channel interleaved mulaw in sphere format. The sphere headers have been modified from the original evaluation data by the addition of sample checksums to the CALLHOME data files. A documentation table contains information on the speech segments.
Corresponding transcripts are available in 2000 HUB5 English Evaluation Transcripts (LDC2003T43).
Please listen to this audio sample.
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