Multilingual Spoken Words CorpusDownload PDF

Aug 21, 2021 (edited Aug 28, 2021)NeurIPS 2021 Track Datasets and Benchmarks Round2 SubmissionReaders: Everyone
  • Keywords: keyword spotting, speech recognition, low resource languages
  • TL;DR: Multilingual Spoken Words Corpus is a speech dataset of over 340,000 spoken words in 50 languages, with over 23.7 million examples.
  • Abstract: Multilingual Spoken Words Corpus is a large and growing audio dataset of spoken words in 50 languages collectively spoken by over 5 billion people, for academic research and commercial applications in keyword spotting and spoken term search, licensed under CC-BY 4.0. The dataset contains more than 340,000 keywords, totaling 23.7 million 1-second spoken examples (over 6,000 hours). The dataset has many use cases, ranging from voice-enabled consumer devices to call center automation. We generate this dataset by applying forced alignment on crowd-sourced sentence-level audio to produce per-word timing estimates for extraction. All alignments are included in the dataset. We provide a detailed analysis of the contents of the data and contribute methods for detecting potential outliers. We report baseline accuracy metrics on keyword spotting models trained from our dataset compared to models trained on a manually-recorded keyword dataset. We conclude with our plans for dataset maintenance, updates, and open-sourced code.
  • Supplementary Material: zip
  • URL: During review, the dataset is available via a private URL to reviewers through OpenReview. Following the review period, our dataset will be hosted, maintained, and advanced by MLCommons.org
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