Device and Produced Speech (DAPS) Dataset


Please download the dataset here and please see here for instructions on how to create new device recordings.

The goal of speech enhancement is typically to recover clean speech from noisy, reverberant, and often bandlimited speech in order to yield improved intelligibility, clarity, or automatic speech recognition performance. However, the acoustic goal for a great deal of speech content such as voice overs, podcasts, demo videos, lecture videos, and audio stories is often not merely clean speech, but speech that is aesthetically pleasing. This is achieved in professional recording studios by having a skilled sound engineer record clean speech in an acoustically treated room and then edit and process it with audio effects (which we refer to as production). A growing amount of speech content is being recorded on common consumer devices such as tablets, smartphones, and laptops. Moreover, it is typically recorded in common but non-acoustically treated environments such as homes and offices. We argue that the goal of enhancing such recordings should not only be to make it sound cleaner as would be done using traditional speech enhancement techniques, but to make it sound like it was recorded and produced in a professional recording studio. We have developed this data set (a great deal of which was recorded in a professional recording studio) to help in developing algorithms for this purpose. Please see the paper below for more information on the problem at hand, the dataset, as well insights and challenges associated with the problem.