Mathematical Sciences

Lund University

  • Title: Feature extraction for dialect classification
  • Short description:

    Speech signals provide both linguistic information, as well as information about the specific speaker. The aim of this project is to go beyond the traditional speech and speaker analysis and extract suitable features for swedish dialect classification based on the word ‘hallå’, spoken in a number of specifically defined situations, e.g. answering the phone or meeting a friend. Available data are recordings of 36 subjects with different dialects. Additionally, to remove the speaker specific influence of the analysis, unique recordings have been made by the same professional imitator using different dialects.

    Prerequisites: FMSF10/MASC04, (FMS051/MASM17), FMSN35/MASM26

  • Long description:

    None

  • Contact: Maria Sandsten