Qian Yang

Qian Yang
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Main area of research
Speech recognition

Selected articles

The ELIS-RUG Pronunciation Modeling Approach

This approach consists of the following steps: Create standard recognizer: one typical pronunciation per word (exceptions) Create expert transcription which is aligned with lexicon transcription:

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Data-Driven Approaches to Pronunciation Variation Modeling for Automatic Speech Recognition

This is a dissertation submitted in fulfilment of the requirements for the degree of Doctor of Philosophy in Applied Science at Ghent University (UGent), Belgium. In this

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Modeling Pronunciation Variations for Automatic Speech Recognition with Context-Dependent Acoustic Models

Previous work on data-driven modeling of pronunciation variations for Automatic Speech Recognition demonstrated significant gains in recognition accuracy for systems working with context-independent (CI) phoneme

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Development of a phoneme-to-phoneme (p2p) converter to improve the grapheme-to-phoneme(g2p) conversion of names

It is acknowledged that a good phonemic transcription of proper names is imperative for the success of many modern speech-based services such as directory assistance, car

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Pronunciation Variation Modeling for ASR: Large Improvements are Possible but Small Ones are Likely to Achieve

In this paper a previously proposed method for the automatic construction of a lexicon with pronunciation variants for ASR is further developed and evaluated. The basic idea

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