Using Syllables as Acoustic Units for Spontaneous Speech Recognition

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F10%3A00504241" target="_blank" >RIV/49777513:23520/10:00504241 - 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
Using Syllables as Acoustic Units for Spontaneous Speech Recognition
Original language description
In this work, we deal with advanced context-dependent automatic speech recognition (ASR) of Czech spontaneous talk using hidden Markov models (HMM). Context-dependent units (e.g. triphones, diphones) in ASR systems provide significant improvement againstsimple non-context-dependent units. However, for spontaneous speech recognition we had to overcome some very challenging tasks. For one, the number of syllables compared to the size of spontaneous speech corpus makes the usage of context-dependent unitsvery difficult. The main part of this article shows problems and procedures to effectively build and use a syllable-based ASR with the LASER (ASR system developed at Department of Computer Science and Engineering, Faculty of Applied Sciences). The procedures are usable with virtual any modern ASR.
Czech name
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Czech description
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Project
<a href="/en/project/2C06009" target="_blank" >2C06009: Complex knowledge base tools for natural language communication with the semantic web</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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