<html><head><meta http-equiv="Content-Type" content="text/html charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class="">Dear Chen,<div class="">Phon does not have a system to check for inter-transcribed reliability, as there is currently no established standards to do this. Among other questions, we keep stumbling on the question as to what of detail should this process work (e.g. phones, descriptive features)? On the other hand, Phon supports multiple-blind IPA transcriptions, whereby each transcriber can input his/her IPA without access to other transcribers' work. Once the blind transcriptions are completed, Phon offers an interface for consensus-based validation of the blind transcripts. More information about this is available in the user manual, which you can access through Phon's help menu.</div><div class=""><br class=""></div><div class="">Your email also hints at two additional technologies: diarization (for speaker-level segmentation) and forced alignment (phone-level alignment). These are two technologies we plan on integrating into Phon over the next period. Stay tuned!</div><div class=""><br class=""></div><div class="">Please let me know if you have questions in the meantime,</div><div class="">Yvan </div><div class=""><br class=""></div><div class=""><br class=""></div><div class=""><br class=""><div><blockquote type="cite" class=""><div class="">On May 7, 2017, at 5:01 AM, Chen G <<a href="mailto:balshan.bashlan@gmail.com" class="">balshan.bashlan@gmail.com</a>> wrote:</div><br class="Apple-interchange-newline"><div class=""><div dir="ltr" class="">Hello,<br class="">I am new to Phon, so please excuse my ignorance.<br class="">I am involved in a longitudinal project of language acquisition.<br class="">We have
some people working on the transcription (in IPA) of the recorded speech, and it
would be nice to have a tool that can help us check the reliability of the manual transcription.<br class="">Does Phon have the ability to segmentize transcribed words
and align the phones with the sound clip?<br class=""><br class="">Thanks,<br class="">Chen Gafni<br class=""><br class=""></div><div class=""><br class="webkit-block-placeholder"></div>
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