On the impact of sentence length on recognition accuracy
Signal Processing（2014）
摘要
The goal of this article is to analyse how the length of utterances affects performance of an automatic speech recognizer (ASR). Benchmarks of an ASR system were performed for utterances of various lengths on English and Czech corpora. Then the observed phenomena are tried to be explained theoretically. Eventually, results are summarized and some conclusions drawn.
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关键词
natural language processing,speech recognition,asr system,czech corpora,english corpora,automatic speech recognizer,sentence length,automatic speech recognition,accuracy,speech analysis,entropy,hidden markov models,speech,acoustics
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