A speech corpus (or spoken corpus) is a database of speech audio files and text transcriptions. In speech technology, speech corpora are used, among other things, to create acoustic models (which can then be used with a speech recognition or speaker identification engine).[1] In linguistics, spoken corpora are used to do research into phonetic, conversation analysis, dialectology and other fields.[2][3]

A corpus is one such database. Corpora is the plural of corpus (i.e. it is many such databases).

There are two types of speech corpora:

  1. Read Speech – which includes:
    • Book excerpts
    • Broadcast news
    • Lists of words
    • Sequences of numbers
  2. Spontaneous Speech – which includes:
    • Dialogs – between two or more people (includes meetings; one such corpus is the KEC);
    • Narratives – a person telling a story (one such corpus is the Buckeye Corpus);
    • Map-tasks – one person explains a route on a map to another;
    • Appointment-tasks – two people try to find a common meeting time based on individual schedules.

A special kind of speech corpora are non-native speech databases that contain speech with a foreign accent.

See also

References

  1. ^ Sarangi, Susanta; Sahidullah, Md; Saha, Goutam (September 2020). "Optimization of data-driven filterbank for automatic speaker verification". Digital Signal Processing. 104: 102795. arXiv:2007.10729. Bibcode:2020DSP...10402795S. doi:10.1016/j.dsp.2020.102795. S2CID 220665533.
  2. ^ Reece, Andrew; Cooney, Gus; Bull, Peter; Chung, Christine; Dawson, Bryn; Fitzpatrick, Casey; Glazer, Tamara; Knox, Dean; Liebscher, Alex; Marin, Sebastian (2022-03-01). "Advancing an Interdisciplinary Science of Conversation: Insights from a Large Multimodal Corpus of Human Speech". arXiv:2203.00674 [cs.CL].
  3. ^ "Santa Barbara Corpus of Spoken American English | Department of Linguistics - UC Santa Barbara". www.linguistics.ucsb.edu. Retrieved 2023-04-26.