Language models using spoken language modeling
US-2024386885-A1 · Nov 21, 2024 · US
US8930185B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8930185-B2 |
| Application number | US-201013392901-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 12, 2010 |
| Priority date | Aug 28, 2009 |
| Publication date | Jan 6, 2015 |
| Grant date | Jan 6, 2015 |
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A speech feature extraction apparatus, speech feature extraction method, and speech feature extraction program. A speech feature extraction apparatus includes: first difference calculation module to: (i) receive, as an input, a spectrum of a speech signal segmented into frames for each frequency bin; and (ii) calculate a delta spectrum for each of the frame, where the delta spectrum is a difference of the spectrum within continuous frames for the frequency bin; and first normalization module to normalize the delta spectrum of the frame for the frequency bin by dividing the delta spectrum by a function of an average spectrum; where the average spectrum is an average of spectra through all frames that are overall speech for the frequency bin; and where an output of the first normalization module is defined as a first delta feature.
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The invention claimed is: 1. A speech feature extraction apparatus comprising: first difference calculation module to: (i) receive, as an input, a spectrum of a speech signal segmented into frames for each frequency bin; and (ii) calculate a delta spectrum for each of said frame, wherein said delta spectrum is a difference of said spectrum within continuous frames for said frequency bin; and first normalization module to normalize said delta spectrum of said frame for said frequ…
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