Voice-to-Phoneme Conversion Algorithms for Voice-Tag Applications in Embedded PlatformsReportar como inadecuado

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EURASIP Journal on Audio, Speech, and Music Processing

, 2008:568737

First Online: 04 October 2007Received: 28 November 2006Revised: 15 July 2007Accepted: 26 September 2007


We describe two voice-to-phoneme conversion algorithms for speaker-independent voice-tag creation specifically targeted at applications on embedded platforms. These algorithms batch mode and sequential 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.

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Autor: YanMing Cheng - Changxue Ma - Lynette Melnar

Fuente: https://link.springer.com/

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