@inproceedings{39793801c17f431789b56b7d32aea5b7,
title = "Reproducibility Companion Paper: MeTILDA - Platform for Melodic Transcription in Language Documentation and Application",
abstract = "This companion paper supports the replication of the development and evaluation of {"}MeTILDA - Platform for Melodic Transcription in Language Documentation and Application{"}that we presented in the ICMR 2021. MeTILDA aims to help document and analyze pitch patterns of endangered languages including Blackfoot, whose prosodic system is characterized by pitch movements. It develops a new form of audio analysis (termed MeT scale which is a perceptual scale) and automates the process of creating visual aids (Pitch Art) to provide more effective visuals of perceived changes in pitch movement. In this paper, we explain the file structure of the source code and publish the details of our data as well as system operations. Moreover, we provide a link to the demo video for facilitating the use of our platform.",
keywords = "Endangered language, MeTILDA, Perceptual scale, Pitch Art",
author = "Mitchell Lee and Chris Lee and Sanjay Penmetsa and Min Chen and Mizuki Miyashita and Naatosi Fish and Bo Wu and Omar Khan",
note = "Publisher Copyright: {\textcopyright} 2023 Owner/Author.; 2023 ACM International Conference on Multimedia Retrieval, ICMR 2023 ; Conference date: 12-06-2023 Through 15-06-2023",
year = "2023",
month = jun,
day = "12",
doi = "10.1145/3591106.3592277",
language = "English",
series = "ICMR 2023 - Proceedings of the 2023 ACM International Conference on Multimedia Retrieval",
publisher = "Association for Computing Machinery, Inc",
pages = "640--643",
booktitle = "ICMR 2023 - Proceedings of the 2023 ACM International Conference on Multimedia Retrieval",
}
