This book covers language modeling and automatic speech recognition
for inflective languages (e.g. Slavic languages), which represent
roughly half of the languages spoken in Europe. These languages do
not perform as well as English in speech recognition systems and it
is therefore harder to develop an application with sufficient
quality for the end user. The authors describe the most important
language features for the development of a speech recognition
system. This is then presented through the analysis of errors in
the system and the development of language models and their
inclusion in speech recognition systems, which specifically address
the errors that are relevant for targeted applications. The error
analysis is done with regard to morphological characteristics of
the word in the recognized sentences. The book is oriented towards
speech recognition with large vocabularies and continuous and even
spontaneous speech. Today such applications work with a rather
small number of languages compared to the number of spoken
languages.
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