ASR

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Greek Speech Recognition Corpus (Mobile)
This dataset was recorded in quiet office and home environments, with 212 speakers participating, including 117 males and 95 females. All speakers who took part in the recording were professionally screened to ensure standardized pronunciation and clear enunciation. The recorded texts cover information such as news updates and command words.
Gujarati Conversational Speech Recognition Corpus (Desktop)
This dataset was recorded in both quiet and noisy environments, with a total of 835 speakers participating, which includes 415 males and 420 females. All speakers who took part in the recording were professionally screened to ensure standardized pronunciation and articulate speech. The texts for the recordings span various topics such as dining, hotels, education, family, and more.
Gujarati Speech Recognition Corpus (Desktop)
This dataset was recorded in a quiet office/home environment, with a total of 141 speakers participating, including 94 males and 47 females. All speakers who participated in the recording were professionally selected to ensure standard pronunciation and clear enunciation. The recorded texts cover information from news, daily conversations, tweets, and other similar content.
Gujarati Speech Recognition Corpus (Mobile)
This dataset was recorded in a quiet office/home environment, with a total of 141 speakers participating, including 94 males and 47 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.
Haiti French Speech Recognition Corpus (Mobile)
This dataset was recorded in a quiet office environment, with 10 speakers participating, including 5 males and 5 females. All speakers involved in the recording were professionally selected to ensure standardized pronunciation and clear articulation. The recorded texts cover voicemail, paragraph dictation, and other information.
Haitian Creole Speech Recognition Corpus – conversation
Hindi Conversational Speech Recognition Corpus (Desktop)
This dataset was recorded in both quiet and noisy environments, with a total of 1581 speakers participating, including 789 males and 792 females. All speakers involved in the recording were professionally selected to ensure standard pronunciation and clear articulation. The recorded text covers information such as hotels, work, and politics.
Hindi Conversational Speech Recognition Corpus (Mobile)
This dataset was recorded in a quiet office/home environment, with a total of 200 speakers participating, including 108 males and 92 females. All speakers involved in the recording were professionally selected to ensure standard pronunciation and clear articulation. The recorded text covers health, shopping, education, and other information.
Hindi Conversational Speech Recognition corpus (Telephone)
This dataset was recorded in a quiet office/home environment, with a total of 419 speakers participating, including 241 males and 178 females. All speakers involved in the recording were professionally screened to ensure standardized pronunciation and clear enunciation. The recorded texts cover information on dining, work, education, and other related topics.

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