ASR

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Australian English Speech Recognition Corpus (Desktop)
This dataset was recorded in a quiet office environment, with a total of 199 speakers participating, including 106 males and 93 females. All speakers involved in the recording were professionally selected to ensure standard pronunciation and clear articulation. The recorded text covers information such as daily conversations and news.
Australian English Speech Recognition Corpus (Desktop)
This dataset was recorded in quiet office and home environments, with 198 speakers participating, including 85 males and 113 females. All speakers involved in the recording were carefully selected by professionals to ensure standardized pronunciation and clear articulation. The recorded texts cover information such as news updates and everyday conversations.
Australian English Speech Recognition Corpus (Desktop)
This dataset was recorded in quiet office and home environments, with 51 speakers participating, comprising 21 males and 30 females. All participants in the recording were professionally screened to ensure standard pronunciation and clear articulation. The recorded texts encompass information on the most common scenarios found in mobile applications.
Australian English Speech Recognition Corpus (In Car)
This dataset was recorded in a car noise environment, with a total of 303 speakers participating, including 160 males and 143 females. All speakers involved in the recording were professionally selected to ensure standard pronunciation and clear articulation. The recorded text covers test materials, dates, phone numbers, and other information.
Australian English Speech Recognition Corpus (Mobile)
This dataset was recorded in a quiet office environment, with 50 speakers participating, including 23 males and 27 females. All speakers involved in the recording were professionally selected to ensure standardized pronunciation and clear enunciation. The recorded texts cover information such as numbers, dates, times, and personal names.
Australian English Speech Recognition corpus (Mobile)
This dataset was recorded in a quiet office/home environment, with a total of 300 speakers participating, including 147 males and 153 females. All speakers involved in the recording were professionally selected to ensure standard pronunciation and clear articulation. The recorded text covers news, Twitter, and other information.
Australian English Speech Recognition Corpus (Mobile)
This dataset was recorded in quiet office and home environments, with 152 speakers participating, including 55 males and 97 females. All speakers who took part in the recording were carefully selected by professionals to ensure standardized pronunciation and clear enunciation. The recorded texts cover information such as everyday conversations and news updates.
Bangladeshi Bengali Speech Recognition Corpus (Mobile)
This dataset was recorded in quiet office/home environments, with the participation of 400 speakers, including 189 males and 211 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.
Belize English 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.

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Filter by
Language
Filter by Languages
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Devices
Devices
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