Spoken Language System and Corpus Design

Gibbon, Dafydd; Moore, Roger; Winski, Richard

doi:10.1515/9783110809817

Cited by 39 publications

(1 citation statement)

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“…The cases of fragmented speech are problematic for the orthographical transcription, especially truncations, when the word is never completed and the transcriber must guess the actual word that the informant intended to say. TEI-conformant (XML-like) tags were used for labelling these phenomena (Gibbon, Moore, & Winski, 1998;TEI Consortium, 2014), as well as unclear cases, missing words, foreign words and erroneous words (like regularized irregular verbs). Hesitations and interjections were also transcribed at this level according to their standardized forms in dictionaries.…”

Section: Orthographic Transcriptionmentioning

confidence: 99%

Transcription and annotation of a Japanese accented spoken corpus of L2 Spanish for the development of CAPT applications

Carranza¹

2016

New Perspectives on Teaching and Working With Languages in the Digital Era

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T his paper addresses the process of transcribing and annotating spontaneous non-native speech with the aim of compiling a training corpus for the development of Computer Assisted Pronunciation Training (CAPT) applications, enhanced with Automatic Speech Recognition (ASR) technology. To better adapt ASR technology to CAPT tools, the recognition systems must be trained with non-native corpora transcribed and annotated at several linguistic levels. This allows the automatic generation of pronunciation variants, new L2 phoneme units, and statistical data about the most frequent mispronunciations by L2 learners. We present a longitudinal non-native spoken corpus of L2 Spanish by Japanese speakers, specifically designed for the development of CAPT tools, fully transcribed at both phonological and phonetic levels and annotated at the error level. We report the results of the influence of oral proficiency, speaking style and L2 exposition in pronunciation accuracy, obtained from the statistical analysis of the corpus.

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Section: Orthographic Transcriptionmentioning

confidence: 99%

Transcription and annotation of a Japanese accented spoken corpus of L2 Spanish for the development of CAPT applications

Carranza¹

2016

New Perspectives on Teaching and Working With Languages in the Digital Era

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Towards a Standard for a Multilingual Lexical Entry: The EAGLES/ISLE Initiative

Calzolari

Zampolli

Lenci

2002

Computational Linguistics and Intelligent Text Processing

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German and Czech Speech Synthesis Using HMM-Based Speech Segment Database

Matoušek

Tihelka

Psutka

et al. 2002

Text, Speech and Dialogue

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Abstract. This paper presents an experimental German speech synthesis system. As in case of a Czech text-to-speech system ARTIC, statistical approach (using hidden Markov models) was employed to build a speech segment database. This approach was confirmed to be language independent and it was shown to be capable of designing a quality database that led to an intelligible synthetic speech of a high quality. Some experiments with clustering the similar speech contexts were performed to enhance the quality of the synthetic speech. Our results show the superiority of phoneme-level clustering to subphoneme-level one.

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Spoken Language System and Corpus Design

Cited by 39 publications

References 0 publications

Transcription and annotation of a Japanese accented spoken corpus of L2 Spanish for the development of CAPT applications

Transcription and annotation of a Japanese accented spoken corpus of L2 Spanish for the development of CAPT applications

Towards a Standard for a Multilingual Lexical Entry: The EAGLES/ISLE Initiative

German and Czech Speech Synthesis Using HMM-Based Speech Segment Database

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