Kashmiri TTS Single Speaker Dataset

The textual data was sourced from various publicly accessible and individual contributors, including scholars and students. The text underwent filtration using an enrichment algorithm to ensure quality and relevance. A young male voice, approximately 25 years of age, was selected to record the speech with a sample rate of 48,000 Hz ensuring high quality audio suitable for detailed phonetic analysis and machine learning applications.. A web application was developed to streamline the process of recording, reviewing, saving, deleting, and flagging inaccurate text entries.The dataset comprises two folders: 'Recordings' and 'Text Files'. 'Recordings' folder has 2984 audio recordings each saved in separate WAV file . 'Text Files' folder contain a single 'textcorpus.csv' file. The CSV file has two columns: an 'id' column that links each entry in the 'sentence' column to its corresponding WAV file in the 'Recordings' folder. The WAV files are named according to the 'id' of the sentence in the 'textcorpus.csv' file, ensuring a systematic and consistent file organization. The citation of the dataset - SShafi, Kh Mohmad; Bhat, Asif Ali; Imtiyaz, Kamran ; Iqbal, Javaid (2024), “KTTS Single Speaker Dataset”, Mendeley Data, V2, doi: 10.17632/5c4dcvxdmb.2 This dataset was identified and facilitated for onboarding as part of the Dataset Onboarding Support Team (DOST) initiative led by by CivicDataLab (CDL), partnering with the Gates Foundation in collaboration with BHASHINI. CivicDataLab provided technical support for dataset discovery, validation, metadata preparation and onboarding facilitation. All dataset ownership and intellectual property rights remain with the original author(s).