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Taiwanese Mandarin Meeting Conversational Speech Recognition Corpus (Mobile)
This dataset was recorded in a quiet home environment, with 60 speakers participating, including 27 males and 33 females. All speakers involved in the recording were professionally selected to ensure standardized pronunciation and clear articulation. The recorded texts cover common meeting dialogues and other information.
Taiwanese Mandarin Speech Recognition Corpus (Mobile)
This dataset was recorded in both quiet and noisy environments, with 5226 speakers participating, including 2352 males and 2874 females. All speakers involved in the recording were professionally selected to ensure standard pronunciation and clear enunciation. The recorded text covers information such as news, daily conversations, and SMS messages.
Tamil Conversational Speech Recognition Corpus (Desktop)
This dataset was recorded in both quiet and noisy environments, with a total of 797 speakers participating, including 400 males and 397 females. All speakers who took part in the recordings were professionally selected to ensure standardized pronunciation and clear enunciation. The recorded texts cover information related to dining, hotels, education, family, and other relevant topics.
Tamil Conversational Speech Recognition Corpus (Telephone)
This dataset was recorded in a quiet office/home environment, with the involvement of 400 speakers, comprising 200 males and 200 females. All participants in the recording were carefully selected by professionals to ensure standardized pronunciation and clear enunciation. The recorded texts span a range of topics, including work, education, movies, and sports.
Tamil Speech Recognition Corpus (Mobile)
This dataset was recorded in a quiet office/home environment, involving 118 speakers, comprising 50 males and 68 females. All participants in the recording process were professionally screened to ensure standard pronunciation and clear articulation. The texts for the recordings cover information from news, everyday conversations, and Twitter, among other sources.
Tamil Speech Recognition corpus(Desktop)
This dataset was recorded in a quiet office/home environment, with a total of 118 speakers participating, including 50 males and 68 females. All speakers involved in the recording were professionally selected to ensure standard pronunciation and clear articulation. The recorded text covers news, daily conversations, Twitter, and other information.
Tanzanian Swahili Speech Recognition Corpus (Mobile)
This dataset was recorded in a quiet office environment, with the participation of 400 speakers, including 229 males and 171 females. All speakers involved in the recording were professionally selected to ensure standardized pronunciation and clear enunciation. The recorded texts cover news and everyday conversations.
Telugu Conversational Speech Recognition Corpus (Desktop)
This dataset was recorded in both quiet and noisy environments, involving a total of 809 speakers, comprising 404 males and 405 females. All participants in the recordings were carefully selected through a professional screening process to ensure standardized pronunciation and clarity in speech. The recorded texts encompass information related to dining, hospitality, education, family, and other pertinent topics.
Telugu Conversational Speech Recognition Corpus (Telephone)
This dataset was recorded in a quiet office/home environment, with the involvement of 110 speakers, including 56 males and 54 females. All participants in the recording were professionally selected to ensure standardized pronunciation and clear enunciation. The recorded texts cover various types of information, including finance and economics, insurance, sports, and work-related topics.

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