TY  - JOUR
T1  - An Enhanced Phoneme-Matching Algorithm Enhanced by User Feedback to Identify Possible Automatic Speech Recognition Transcription Errors
AU - Carmichael, James 
JO  - Journal of Engineering and Applied Sciences
VL  - 9
IS  - 10
SP  - 457
EP  - 463
PY  - 2014
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2014.457.463
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2014.457.463
KW  - speech-to-text transcripts
KW  -word error rate
KW  -Automatic speech recognition
KW  -query terms
KW  -identifying
AB  - This study reports on recent improvements made to a Phoneme-Matching Algorithm (PMA) reported in a previous study. Similar to its predecessor, the purpose of the Enhanced PMA (EPMA) is to identify word recognition errors in automatically generated transcripts detailing the speech content of digital multimedia soundtracks that are routinely queried by professional researchers (such as academics and archivists). In order to alert a user to the possibility that a particular search term may have been incorrectly recognised as some other word or phrase, the EPMA when invoked during a query operation will parse the transcript’s text to locate words or phrases of similar phonetic structure to the query term and then present these suspected speech recognition errors to the user for consideration. The EPMA’sperformance has been improved by incorporating techniques to learn from user feedback concerning error identification. When tested on a corpus of digital multimedia, the EPMA averaged an 80.55% success rate in correctly identifying words/phrases which were actually instances of misrecognised query terms.
ER  -