Protection of private information in a client/server automatic speech recognition system
US-9131369-B2 · Sep 8, 2015 · US
US9514741B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9514741-B2 |
| Application number | US-201313800764-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 13, 2013 |
| Priority date | Mar 13, 2013 |
| Publication date | Dec 6, 2016 |
| Grant date | Dec 6, 2016 |
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Training speech recognizers, e.g., their language or acoustic models, using actual user data is useful, but retaining personally identifiable information may be restricted in certain environments due to regulations. Accordingly, a method or system is provided for enabling training of an acoustic model which includes dynamically shredding a speech corpus to produce text segments and depersonalized audio features corresponding to the text segments. The method further includes enabling a system to train an acoustic model using the text segments and the depersonalized audio features. Because the data is depersonalized, actual data may be used, enabling speech recognizers to keep up-to-date with user trends in speech and usage, among other benefits.
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What is claimed is: 1. A method of enabling training of an acoustic model, the method comprising: dynamically shredding a speech corpus to produce text segments and depersonalized audio features corresponding to the text segments, the depersonalized audio features including filtered audio data remaining after speaker vocal characteristics and other audio characteristics have been removed, the speech corpus comprising a plurality of messages that each contain audio and correspondin…
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