2004 Spring NIST Rich Transcription (RT-04S) Evaluation Data
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https://catalog.ldc.upenn.edu/LDC2007S12
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Introduction 2004 Spring NIST Rich Transcription (RT-04S) Evaluation Data contains the test material (meeting speech and reference transcripts) used in the RT-04S evaluation administered by the NIST (National Institute of Standards and Technology) Speech Group. Rich Transcription (RT) is broadly defined as a fusion of speech-to-text technology and metadata extraction technologies designed to provide the basis for a generation of more usable transcriptions of human-human meeting speech. The data in this release consists of portions of meeting speech collected and/or transcribed by the International Computer Science Institute (ICSI) at Berkeley, the Interactive Systems Laboratories (ISL) at Carnegie Mellon University, NIST and LDC. The complete meeting speech and corresponding transcript data sets are available from LDC's catalog as follows: ICSI Meeting Speech (LDC2004S02), ICSI Meeting Transcripts (LDC2004T04), ISL Meeting Speech Part 1 (LDC2004S05), ISL Meeting Transcripts Part 1 (LDC2004T10), NIST Meeting Pilot Corpus Speech (LDC2004S09) and NIST Meeting Pilot Corpus Transcripts and Metadata (LDC2004T13). RT-04S included the following tasks in the meeting domain: Speech-to-Text Transcription (STT) tasks Microphone conditions: Multiple distant microphones Single distant microphone Individual head microphone Processing time conditions: Unlimited time STT Less than or equal to twenty times realtime Less than or equal to ten times realtime Less than or equal to one times realtime Diarization (SPKR) task (?who spoke when?) Microphone conditions: Multiple distant microphones Single distant microphone Input conditions: Speech input only Speech plus reference transcript input Processing time conditions: Unlimited time Less than or equal to twenty times realtime Less than or equal to ten times realtime Less than or equal to one time realtime Futher information about the evaluation is available on the RT-04 Spring Evaluation Website. Samples For an example of the data in this corpus, please review this audio sample. Portions © 2003 Interactive Systems Laboratories, Carnegie Mellon University, © 2000-2001 International Computer Science Institute, © 2001, 2004, 2007 Trustees of the University of Pennsylvania
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2024-01-31



