Muno459/fastconformer-quran
Automatic Speech Recognition • Updated
TLOG is a dataset consisting of audio recitations of Quranic Ayahs and their corresponding Quranic texts.
Each data point of this dataset consists of the following features:
audio: audio recitation of a specific Ayah in the Quranarray: the audio signal in array formsample_rate: the sample rate of the audio signalpath: the file name, which, for a clean data point, should correspond to the verse that’s being recited:surahNum_ayahNum_id.wav2_1_2321423.wav corresponds to the text in Surah 2, Verse 1.bytes: the raw audio bytes, un-decoded, as it could be corruptpath: the file namelabel: Arabic text of the Ayah recited, in Uthmani script with Tashkeel. If data point is unclean, label is 0.is_clean: indicates whether the specific data point is clean or unclean.clean: audio files that follow a valid filename format and is not corruptunclean: audio files that do not follow a valid filename format and/or is corruptThe labels were inferred from the Surah/Ayah number of the audio filename and are not validated further.