Most recent speech recognition models rely on large supervised datasets, which are
unavailable for many low-resource languages. In this work, we present a speech recognition …

What does the symbol r mean when it is used in a transcription? Here we analyze the use of
the symbols for the alveolar trills (r) and taps () among the Illustrations of the IPA since 1971 …

There is growing interest in building phone recognition systems for low-resource languages
as the majority of languages do not have any writing systems. Phone recognition systems …

Building language-universal speech recognition systems entails producing phonological
units of spoken sound that can be shared across languages. While speech annotations at …

This paper proposes Allophant, a multilingual phoneme recognizer. It requires only a
phoneme inventory for cross-lingual transfer to a target language, allowing for low-resource …

Identifying phone inventories is a crucial component in language documentation and the
preservation of endangered languages. However, even the largest collection of phone …

We investigate the efficiency of two very different spoken term detection approaches for
transcription when the available data is insufficient to train a robust speech recognition …

UniGlyph is a constructed language (conlang) designed to create a universal transliteration
system using a script derived from seven-segment characters. The goal of UniGlyph is to …

Phones are critical components in various computational linguistic fields, for example,
phone distributions could be helpful in speech recognition and speech synthesis. Traditional …

Recently, the performance of speech recognition has witnessed rapid improvement due to
modern architectures. Those models typically require thousands of hours of training data for …