  In this paper, we introduce a collaborative and modern annotation tool for
audio and speech: audino. The tool allows annotators to define and describe
temporal segmentation in audios. These segments can be labelled and transcribed
easily using a dynamically generated form. An admin can centrally control user
roles and project assignment through the admin dashboard. The dashboard also
enables describing labels and their values. The annotations can easily be
exported in JSON format for further analysis. The tool allows audio data and
their corresponding annotations to be uploaded and assigned to a user through a
key-based API. The flexibility available in the annotation tool enables
annotation for Speech Scoring, Voice Activity Detection (VAD), Speaker
Diarisation, Speaker Identification, Speech Recognition, Emotion Recognition
tasks and more. The MIT open source license allows it to be used for academic
and commercial projects.
