{"url":"/dataset/deeply-korean-read-speech-corpus","name":"Deeply Korean read speech","full_name":null,"description_markdown":"Deeply Korean read speech corpus contains pairs of Korean speakers reading a script with *__3 distinct text sentiments (negative, neutral, positive)__*, with *__3 distinct voice sentiments (negative, neutral, positive)__*, are recorded. The recordings took place in *__3 different types of places__*, which are *an anechoic chamber, studio apartment, and dance studio*, of which the level of reverberation differs. And in order to examine the effect of the distance of mic from the source and device, every experiment is recorded at *__3 distinct distances__* with *__2 types of smartphone__*, *iPhone X, and Galaxy S7*.\r\n\r\nThis sample dataset consists of about 3 hours(290 hours in the full set) of audio(16 kHz, 16-bit, mono), and one pair of speakers. The dataset is a subset(approximately 1%) of a much bigger dataset which were recorded under the same circumstances as these open-source datasets. Please contact us(contact@deeplyinc.com) for the full set with the research/commercial license.","description_withheld":null,"homepage":"https://github.com/deeplyinc/Korean-Read-Speech-Corpus/blob/main/README.md","introduced_date":"2021-01-27","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Speech","url":"/datasets/modality/speech"}],"tasks":[],"languages":[{"name":"Korean","url":"/datasets/language/korean"}],"variants":["Deeply Korean read speech"],"data_loaders":[{"repo":"https://github.com/deeplyinc/Korean-Read-Speech-Corpus","url":"https://github.com/deeplyinc/Korean-Read-Speech-Corpus","frameworks":[]}],"num_papers_in_archive":0,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}