Bridging the Gap between Linguists and Technology Developers: Large-Scale, Sociolinguistic Annotation for Dialect and Speaker Re

Recent years have seen increased interest within the speaker recognition community in high-level features including, for example, lexical choice, idiomatic expressions or syntactic structures. The promise of speaker recognition in forensic applications drives development toward systems robust to channel differences by selecting features inherently robust to channel difference. Within the language recognition community, there is growing interest in differentiating not only languages but also mutually intelligible dialects of a single language. Decades of research in dialectology suggest that high-level features can enable systems to cluster speakers according to the dialects they speak. The Phanotics (Phonetic Annotation of Typicality in Conversational Speech) project seeks to identify high-level features characteristic of American dialects, annotate a corpus for these features, use the data to dialect recognition systems and also use the categorization to create better models for spea...

• Type: Conference
• Year: 2008
• Where: LREC
• Authors: Christopher Cieri, Stephanie Strassel, Meghan Lammie Glenn, Reva Schwartz, Wade Shen, Joseph P. Campbell
• Keywords: Dialect Recognition Systems, Education, LREC 2008, Recognition Community, Speaker Recognition