Voice-to-Phoneme Conversion Algorithms for Voice-Tag Applications in Embedded Platforms. (11th August 2008)

• Record Type: Journal Article
• Authors: Cheng, Yan Ming; Ma, Changxue; Melnar, Lynette
• Other Names: Picone Joe Academic Editor.
• Is Part Of: EURASIP journal on audio, speech, and music processing. Volume 2008(2008)
• Publication Date: 2008-08-11
• Subjects: Sound -- Recording and reproducing -- Digital techniques -- Periodicals; Computer sound processing -- Periodicals; Computer sound processing; Sound -- Recording and reproducing -- Digital techniques; Periodicals; Electronic journal; Electronic journals; 620.2
• DOI: 10.1155/2008/568737
• Languages: English
• ISSNs: 1687-4714

Abstract

Abstract : 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.