ASR

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Singapore English Speech Recognition Corpus
This dataset is Singaporean English Dialogue, applicable for dual channel for mobile and online calls with sentence segmentation data. It covers Telemarketing Customer Service, Financial Consumption, Common Daily Life Language, Travel Shopping, Sports Entertainment, Education Learning, Technology Digital Games, where Telemarketing Customer Service and Financial Consumption account for no less than 30%.
Singapore English Speech Recognition Corpus (Mobile)
This dataset was recorded in a quiet office/home environment, involving a total of 201 speakers, comprising 99 males and 102 females. All participants involved in the recording were professionally screened to ensure standardized pronunciation and clear articulation. The recorded texts span a variety of information including news and everyday conversations.
Singaporean English Call Center Recognition Speech Corpus – Conversations (Mobile)
This corpus was recorded from mobile device with 200 speakers in total of 200 hours. It is a call center dialogue senario covering bank, medical, healthcare, insurance, retail, and tourism topics.
Slovak Speech Recognition Corpus (Mobile)
This dataset was recorded in a quiet office environment, involving 200 speakers, including 90 males and 110 females. All speakers who participated in the recording were professionally screened to ensure standard pronunciation and clear articulation. The recorded text materials cover information such as news and daily conversations.
Slovenian Speech Recognition Corpus (Mobile)
This dataset was recorded in a quiet office environment, involving a total of 202 speakers, including 98 males and 104 females. All participants in the recording were professionally selected to ensure standard pronunciation and clear articulation. The recorded text materials encompass topics such as news and everyday conversations.
Somalian Somali Speech Recognition Corpus (Mobile)
This dataset was recorded in quiet office/home environments, with the participation of 415 speakers, including 215 males and 200 females. All speakers involved in the recording were professionally selected to ensure standardized pronunciation and clear enunciation. The recorded texts cover news, everyday conversations, and other information.
South African English Speech Recognition Corpus (Mobile)
This dataset was recorded in a quiet office environment, with the involvement of 200 speakers, comprising 108 males and 92 females. All speakers who participated in the recording were professionally selected to ensure standardized pronunciation and clear enunciation. The recorded text materials cover a range of information including news and daily conversations.
South African Zulu Speech Recognition Corpus (Mobile)
This dataset was recorded in quiet office/home environments, with the participation of 400 speakers, including 179 males and 221 females. All speakers involved in the recording were professionally selected to ensure standardized pronunciation and clear enunciation. The recorded texts cover news and other information.
South American English Speech Recognition Corpus (Desktop+Mobile)
This dataset was recorded in a quiet office/home environment, with a total of 100 speakers participating, including 52 males and 49 females. All speakers involved in the recording were professionally screened to ensure standard pronunciation and clear enunciation. The recorded texts cover information such as news and everyday conversations.

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