- Oxford Handbooks in Linguistics
- List of Contributors
- Corpus Design
- Data Collection
- Corpus Annotation: Methodology and Transcription Systems
- On Automatic Phonological Transcription of Speech Corpora
- Statistical Corpus Exploitation
- Corpus Archiving and Dissemination
- Metadata Formats
- Data Formats for Phonological Corpora
- Corpus and Research in Phonetics and Phonology: Methodological and Formal Considerations
- A Corpus-Based Study of Apicalization of /s/ before /l/ in Oslo Norwegian
- Corpora, Variation, and Phonology: An Illustration from French Liaison
- Corpus-Based Investigations of Child Phonological Development: Formal and Practical Considerations
- Corpus Phonology and Second Language Acquisition
- ELAN: Multimedia Annotation Application
- The Use of Praat in Corpus Research
- Praat Scripting
- The PhonBank Project: Data and Software-Assisted Methods for the Study of Phonology and Phonological Development
- ANVIL: The Video Annotation Research Tool
- Web-Based Archiving and Sharing of Phonological Corpora
- The IViE Corpus
- French Phonology from a Corpus Perspective: The PFC Programme
- Two Norwegian Speech Corpora: NoTa-Oslo and TAUS
- The LeaP Corpus
- The Diachronic Electronic Corpus of Tyneside English: Annotation Practices and Dissemination Strategies
- The Lanchart Corpus
- Phonological and Phonetic Databases at the Meertens Institute
- The VALIBEL Speech Database
- Prosody and Discourse in the Australian Map Task Corpus
- A Phonological Corpus of L1 Acquisition of Taiwan Southern Min
Abstract and Keywords
EMU is a collection of software tools for the creation, manipulation, and analysis of speech databases. At the core of EMU is a database search engine which allows the researcher to find various speech segments based on the sequential and hierarchical structure of the utterances in which they occur. The interface to the user and other applications is the EMU query language. EMU includes an interactive labeller which can display spectrograms and other speech waveforms, which further provides displays for several articulatory data, and which allows the creation of hierarchical, as well as sequential, annotation for a speech utterance. EMU interfaces with Praat, WaveSurfer for annotation, and with the R language and environment for statistical computing and graphics. The EMU/R interface enhances the R functionality and enables statistical analyses of EMU speech data. Overall, EMU provides tools for each step necessary to speech data analyses.
Tina John is a lecturer in linguistics at the University of Kiel. After the MA graduation in Phonetics, Linguistics and Computer Science in 2004, she joined the developer team of the EMU System. In 2012 she obtained her PhD in Phonetics and Computer Linguistics at the University of Munich. Her areas of interest in addition to the development of the EMU System and algorithms in general are all kinds of speech data analyses (e.g., finding acoustic correlates) as well as analyses of text corpora.
Lasse Bombien works as a researcher at the Universities of Munich and Potsdam. In 2006 he received his MA in Phonetics at the University of Kiel, and in 2011 a Dr.Phil. in Phonetics at the University of Munich. His areas of interest include speech production, articulatory coordination, sound change, effects of prosodic structure on phonetic detail, phonetics and phonology of Scandinavian languages, techniques for speech production investigation and software development.
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