This dataset contains named entities annotations for European Parliament recordings in Dutch, French, German and Spanish. The entity annotation scheme follows OntoNotes v5. The original unannotated dataset is VoxPopuli.
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Data collection was conducted by asking some adults from social media and some students from an elementary school to participate in our experiment. Table.1 shows the number of data gathered for recognizing each color. Due to the fact that two words are used for black in Persian, the number of black samples is more. In addition, because the color recognition is a RAN task, a sequence of data has been gathered. Table.2 depicts the number of sequence data for colors. For the meaningless words, 12 voices have been gathered on average for each word (there are 40 meaningless words in this task).
We introduced a Vietnamese speech recognition dataset in the medical domain comprising 16h of labeled medical speech, 1000h of unlabeled medical speech and 1200h of unlabeled general-domain speech. To our best knowledge, VietMed is by far the world’s largest public medical speech recognition dataset in 7 aspects: total duration, number of speakers, diseases, recording conditions, speaker roles, unique medical terms and accents. VietMed is also by far the largest public Vietnamese speech dataset in terms of total duration. Additionally, we are the first to present a medical ASR dataset covering all ICD-10 disease groups and all accents within a country.
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This Sanskrit speech corpus has more than 78 hours of audio data and contains recordings of 45,953 sentences with a sampling rate of 22KHz. The content is mainly readings of texts spanning over various Śāstras of Saṃskṛtam literature and also includes contemporary stories, radio program, extempore discourse, etc.
Russian dataset of emotional speech dialogues. This dataset was assembled from ~3.5 hours of live speech by actors who voiced pre-distributed emotions in the dialogue for ~3 minutes each. <br> Each sample of dataset contains name of part from the original dataset studio source, speech file (16000 or 44100Hz) of human voice, 1 of 7 labeled emotions and the speech-to-texted part of voice speech. <br>
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A Chinese Mandarin speech corpus by Beijing DataTang Technology Co., Ltd, containing 200 hours of speech data from 600 speakers. The transcription accuracy for each sentence is larger than 98%. Aidatatang_200zh is a free Chinese Mandarin speech corpus provided by Beijing DataTang Technology Co., Ltd under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License. The contents and the corresponding descriptions of the corpus include: