Sentence examples for pronunciation variations from inspiring English sources

Voice-to-phoneme conversion has been investigated in modeling pronunciation variations for speech recognition ([1, 2]), spoken document retrieval ([3, 4]) and word spotting ([5]) with noteworthy success.

However, noisy speech, spontaneous speech with disfluencies [27, 28], or pronunciation variations [29] crucially affect the performance of SLU and DM.

The Relation of Stress Accent to Pronunciation Variation in Spontaneous American English Discourse.

Proceedings of the ESCA Workshop on Modeling Pronunciation Variation for Automatic Speech Recognition.

Speaking in Shorthand - A Syllable-Centric Perspective for Understanding Pronunciation Variation.

A Comparison of Data-Derived and Knowledge-Based Modeling of Pronunciation Variation.

We argue that our findings are consistent with the predictions of production-based accounts of pronunciation variation.

In this paper, we present an inductive approach to the automatic extraction of knowledge about inter-regional pronunciation variation.

We also show that the observed differences coincide with the tendencies studied and described in linguistic comparative research of inter-regional pronunciation variation in standard Dutch.

To model pronunciation variation at the phonemic level, we added pronunciation variants to the lexicon.

An obvious way to model pronunciation variation at the level of the lexicon is by adding pronunciation variants to the lexicon [29, 30].