  We introduce \`{I}r\`{o}y\`{i}nSpeech, a new corpus influenced by the desire
to increase the amount of high quality, contemporary Yor\`{u}b\'{a} speech
data, which can be used for both Text-to-Speech (TTS) and Automatic Speech
Recognition (ASR) tasks. We curated about 23000 text sentences from news and
creative writing domains with the open license CC-BY-4.0. To encourage a
participatory approach to data creation, we provide 5000 curated sentences to
the Mozilla Common Voice platform to crowd-source the recording and validation
of Yor\`{u}b\'{a} speech data. In total, we created about 42 hours of speech
data recorded by 80 volunteers in-house, and 6 hours of validated recordings on
Mozilla Common Voice platform. Our TTS evaluation suggests that a
high-fidelity, general domain, single-speaker Yor\`{u}b\'{a} voice is possible
with as little as 5 hours of speech. Similarly, for ASR we obtained a baseline
word error rate (WER) of 23.8.
