ASR

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Canadian French Speech Recognition Corpus (Incar)
This dataset was recorded in a vehicular noise environment, with 304 speakers participating, including 152 males and 152 females. All speakers who took part in the recording were professionally selected to ensure standardized pronunciation and clear enunciation. The recorded texts cover information such as numbers, dates, and personal names.
Canadian French Speech Recognition Corpus (Mobile)
This dataset was recorded in both quiet and noisy environments, with 151 speakers participating, including 72 males and 79 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.
Canadian French Speech Recognition Corpus (Mobile)
This dataset was recorded in both quiet and noisy environments, with a total of 301 speakers participating, including 153 males and 148 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.
Canadian French Speech Recognition Corpus (Mobile)
This dataset was recorded in a quiet office environment, with the participation of 50 speakers, evenly divided into 25 males and 25 females. All speakers involved in the recording were professionally selected to ensure standardized pronunciation and clear articulation. The recorded texts cover information such as numbers, dates, times, and personal names.
Cantonese Conversational Speech Recognition Corpus (Telephone)
This dataset was recorded in quiet office/home environments, with the participation of 1,018 speakers, including 447 males and 571 females. All speakers involved in the recording were professionally selected to ensure standardized pronunciation and clear enunciation. The recorded texts cover information on customer service dialogues, "spot the difference" games, and everyday conversations.
Cantonese Conversational Speech Recognition Corpus (Telephone)
This dataset was recorded in a quiet office/home environment, with a total of 200 speakers participating, including 93 males and 107 females. All speakers involved in the recording were professionally selected to ensure standard pronunciation and clear articulation. The recorded text covers music, shopping, sports, movies, and other information.
Cantonese Speech Recognition Corpus (Mobile)
This dataset was recorded in noisy environments such as shopping malls, streets, and cars, with a total of 149 speakers participating, including 72 males and 77 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.
Cantonese Speech Recognition Corpus (Mobile)
This dataset was recorded in a quiet office/home setting, involving 202 speakers, comprising 104 males and 98 females. All participants in the recording were carefully selected by professionals to ensure standard pronunciation and clear speech. The texts for the recordings cover a range of topics including news, everyday conversations, and tweets.
Cantonese Speech Recognition Corpus (Mobile)
This dataset was recorded in quiet office and home environments, with the involvement of 2,415 speakers, including 1,188 males and 1,227 females. All participants in the recordings were professionally selected to ensure standardized pronunciation and clear articulation. The recorded texts encompass information such as news updates and everyday conversations.

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Filter by Languages
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