Arabic CTS Levantine Fisher Training Data Set 3, Speech

<h3>Introduction</h3><br>
<p>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 <a href="http://catalog.ldc.upenn.edu/LDC2005T03" rel="nofollow"> Arabic CTS Levantine Fisher Training Data Set 3, Transcripts (LDC2005T03)</a>.</p><br>
<p>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 were challengingly natural and intimate. Under the Fisher protocol, a very large number of participants each made a few calls of short duration speaking to other participants, whom they typically did not know, about assigned topics. This maximized inter-speaker variation and vocabulary breadth although it also increased formality.</p><br>
<p>Previous protocols such as CALLHOME, CALLFRIEND and Switchboard relied upon participant activity to drive the collection. Fisher was unique in being platform driven rather than participant driven. Participants who wished to initiate a call did so; however, the collection platform initiated the majority of calls. Participants simply answered their phones at the times they specified when registering for the study.</p><br>
<p>To encourage a broad range of vocabulary, Fisher participants were asked to speak about an assigned topic chosen from a randomly generated list that changed every 24 hours. All participants that day were assigned subjects from that list.&nbsp;Some topics were inherited or refined from previous Switchboard studies while others were developed specifically for the Fisher protocol.</p><br>
<h3>Samples</h3><br>
<p>Please examine this <a href="desc/addenda/LDC2005S07.wav" rel="nofollow">sample</a> for an example of this corpus.</p></br>
Portions © 2003-2005 Trustees of the University of Pennsylvania

搜集汇总

背景与挑战

背景概述

该数据集是黎凡特阿拉伯语语音训练数据，包含322个对话，总计约50小时语音，专为自动语音识别（ASR）系统开发设计。它采用Fisher协议，通过大量参与者进行短时、主题驱动的通话，以增强说话者变异和词汇多样性，并配套提供人工标注的转录本。