Tanja Schultz and Katrin Kirchhoff have compiled a comprehensive overview of speech
processing from a multilingual perspective. By taking this all-inclusive approach to speech …

In this chapter, we give a brief introduction to speech-driven applications in order to motivate
why it is desirable to automatically recognize particular speaker characteristics from speech …

In this section the problem of recognising non-native speech was examined and a new
method for generating non-native pronunciations without using non-native data was …

Multidialectal languages can pose challenges for acoustic modeling. Past research has
shown that with a large training corpus but without explicit modeling of inter-dialect …

Abstract South African English is currently considered an under-resourced variety of English.
Extensive speech resources are, however, available for North American (US) English. In this …

Although English is spoken throughout South Africa it is most often used as a second or third
language, resulting in several prevalent accents within the same population. When dealing …

During the last years, language resources for speech recognition have been collected for
many languages and specifically, for global languages. One of the characteristics of global …

In this study we present di erent approaches to the recognition of non-natives. With a corpus
in German spoken by speakers with 56 di erent rst languages, the Strange Corpus, we …

We report on the use of multilingual hidden Markov models for the recognition of non-native
speech. Based on the design of a common phoneme set that provides a phone compression …

Automatic Voice Query Service can extremely reduce the artificial cost, which can improve
the response efficiency for users. The automatic speech recognition (ASR) is one of the …