  We introduce RadioTalk, a corpus of speech recognition transcripts sampled
from talk radio broadcasts in the United States between October of 2018 and
March of 2019. The corpus is intended for use by researchers in the fields of
natural language processing, conversational analysis, and the social sciences.
The corpus encompasses approximately 2.8 billion words of automatically
transcribed speech from 284,000 hours of radio, together with metadata about
the speech, such as geographical location, speaker turn boundaries, gender, and
radio program information. In this paper we summarize why and how we prepared
the corpus, give some descriptive statistics on stations, shows and speakers,
and carry out a few high-level analyses.
