Introduction
Arabic CTS Levantine Fisher Training Data Set 3 Speech consists of 322 conversations, representing a total of about 50 hours of Levantine Arabic speech. The corresponding human annotated transcripts are contained in
Arabic CTS Levantine Fisher Training Data Set 3, Transcripts (LDC2005T03).
The Fisher telephone conversation collection protocol was created
at LDC to address a critical need of developers trying to build robust
automatic speech recognition (ASR) systems. Previous collection
protocols, such as CALLFRIEND and Switchboard-II and the resulting
corpora, have been adapted for ASR research but were in fact developed
for language and speaker identification respectively. Although the
CALLHOME protocol and corpora were developed to support ASR
technology, they feature small numbers of speakers making telephone
calls of relatively long duration with narrow vocabulary across the
collection. CALLHOME conversations are challengingly natural and
intimate. Under the Fisher protocol, a very large number of
participants each make a few calls of short duration speaking to other
participants, whom they typically do not know, about assigned
topics. This maximizes inter-speaker variation and vocabulary breadth
although it also increases formality.
Previous protocols such as CALLHOME, CALLFRIEND and Switchboard
relied upon participant activity to drive the collection. Fisher is
unique in being platform driven rather than participant
driven. Participants who wish to initiate a call may do so; however
the collection platform initiates the majority of calls. Participants
need only answer their phones at the times they specified when
registering for the study.
To encourage a broad range of vocabulary, Fisher participants are
asked to speak on an assigned topic which is selected at random from a
list, which changes every 24 hours and which is assigned to all
subjects paired on that day. Some topics are inherited or refined from
previous Switchboard studies while others were developed specifically
for the Fisher protocol.
Samples
Please examine this sample for an example of this corpus.
Copyright
Portions © 2003-2005 Trustees of the University of Pennsylvania
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