Modification of the Speech Feature Extraction Module for the Improvement of the System for Automatic lectures transcription

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F12%3A%230001998" target="_blank" >RIV/46747885:24220/12:#0001998 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Modification of the Speech Feature Extraction Module for the Improvement of the System for Automatic lectures transcription
Original language description
This contribution is about experiments with different speech feature extraction methods and strategies where the goal has been to improve the result and the resulting recognition rate of the speech recognizer of an automatic audio speech signal transcription system. The extraction of speech features is based on MFCC (Mel Frequency Cepstral Coefficients) and PLP (Perceptual Linear Prediction), which are normally used in different transcription systems around the world. The speech recognizer with different speech features has been tested on our speech database where audio (or video) recordings from archives of university lectures are stored. The result from our experiments is that we get higher recognition rate if PLP based audio speech features are used.
Czech name
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Czech description
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Project
<a href="/en/project/TA01011142" target="_blank" >TA01011142: Automatic transcription and indexation of lectures</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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