Voice-to-Phoneme Conversion Algorithms for Voice-Tag Applications in Embedded Platforms
<p/> <p>We describe two voice-to-phoneme conversion algorithms for speaker-independent voice-tag creation specifically targeted at applications on embedded platforms. These algorithms (<it>batch mode</it> and <it>sequential</it>) are compared in speech recognition...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2008-01-01
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| Series: | EURASIP Journal on Audio, Speech, and Music Processing |
| Online Access: | http://asmp.eurasipjournals.com/content/2008/568737 |
| Summary: | <p/> <p>We describe two voice-to-phoneme conversion algorithms for speaker-independent voice-tag creation specifically targeted at applications on embedded platforms. These algorithms (<it>batch mode</it> and <it>sequential</it>) are compared in speech recognition experiments where they are first applied in a same-language context in which both acoustic model training and voice-tag creation and application are performed on the same language. Then, their performance is tested in a cross-language setting where the acoustic models are trained on a particular source language while the voice-tags are created and applied on a different target language. In the same-language environment, both algorithms either perform comparably to or significantly better than the baseline where utterances are manually transcribed by a phonetician. In the cross-language context, the voice-tag performances vary depending on the source-target language pair, with the variation reflecting predicted phonological similarity between the source and target languages. Among the most similar languages, performance nears that of the native-trained models and surpasses the native reference baseline.</p> |
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| ISSN: | 1687-4714 1687-4722 |