2003 BenchmarkTestforSpeechRecogniti

• (Kawahara et al., 2003) ⇒ Tatsuya Kawahara, Hiroaki Nanjo, Takahiro Shinozaki, and Sadaoki Furui. (2003). “Benchmark Test for Speech Recognition Using the Corpus of Spontaneous Japanese.” In: ISCA \& IEEE Workshop on Spontaneous Speech Processing and Recognition.

Subject Headings: Japanese ASR.

Cited By

• http://scholar.google.com/scholar?q=%222003%22+Benchmark+Test+for+Speech+Recognition+Using+the+Corpus+of+Spontaneous+Japanese

Quotes

Abstract

We present benchmark results of automatic speech recognition using the Corpus of Spontaneous Japanese (CSJ), which has been developed in the five-year national project and will be the largest spontaneous speech databases. New test-sets are designed for both academic presentation speech and extemporaneous public speech, which are the two major categories in the corpus. The test-sets are selected to cover the variation of acoustic and linguistic factors in spontaneous speech: word perplexity, degree of disfluency, and the speaking rate. Baseline acoustic and language models are set up using an almost complete set (500 hours and 6.67M words) of the CSJ. Statistical modeling of pronunciation variation is also incorporated into the language model based on the alignment of large-scale transcriptions. The benchmark results verified the effects of the factors considered in the test-set design.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2003 BenchmarkTestforSpeechRecogniti	Tatsuya Kawahara Hiroaki Nanjo Takahiro Shinozaki Sadaoki Furui			Benchmark Test for Speech Recognition Using the Corpus of Spontaneous Japanese						2003