ASR

Search our off-the-shelf datasets.

Filter by
Language
Filter by Languages
Language
Devices
Devices
Applicable Fields
Applicable Fields
More
Applicable Scenarios
Applicable Scenarios
More
American English Speech Recognition Corpus (Mobile)
This dataset was recorded in a quiet office/home setting, with a total of 241 speakers participating, which includes 125 males and 116 females. All speakers who took part in the recording were professionally screened to ensure standard pronunciation and clear articulation. The texts for the recordings span information from news, chats, tweets, and other similar sources.
American English Speech Recognition Corpus (Mobile)
This dataset was recorded in a quiet office/home environment, involving 40 speakers, with 21 males and 19 females. All participants in the recording were professionally selected to ensure standard pronunciation and clear articulation. The texts for the recordings encompass news, everyday conversations, tweets, and other relevant information.
American English Speech Recognition Corpus (Mobile)
This dataset was recorded in quiet office and home environments, involving a total of 2,575 speakers, with 1,355 males and 1,220 females. All speakers who participated in the recording were professionally screened to ensure standard pronunciation and clear enunciation. The recorded texts cover various types of information, including everyday conversations and news updates.
American English Speech Recognition Corpus (Mobile)
This dataset was recorded in both quiet and noisy environments, with 50 speakers participating, including 23 males and 27 females. All speakers who took part in the recording were professionally screened to ensure standardized pronunciation and clear enunciation. The recorded texts include information such as text messages.
American English Speech Recognition Corpus (Smart Switch)
This dataset was recorded in both quiet and noisy environments, with the participation of 34 speakers, including 19 males and 15 females. All speakers involved in the recording were professionally selected to ensure standardized pronunciation and clear enunciation. The recorded texts cover wake-up words and interrogative sentences.
American English Speech Recognition Corpus (Telephone)
This dataset was recorded in a quiet office/home environment, with a total of 252 speakers participating, including 131 males and 121 females. All speakers involved in the recording were professionally selected to ensure standard pronunciation and clear articulation. The recorded text covers news, chats, Twitter, and other information.
American English Speech Recognition 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.
American English Wake-up Words Speech Recognition Corpus (Desktop)
This dataset was recorded in a studio environment, with the participation of 134 speakers, including 69 males and 65 females. All speakers involved in the recording were professionally selected to ensure standardized pronunciation and clear articulation. The recorded text materials cover information such as wake words.
American English Wake-up Words Speech Recognition Corpus (Desktop+Mobile+TV)
This dataset was recorded in both quiet and noisy environments, with a total of 249 speakers participating, including 121 males and 128 females. All speakers involved in the recording were professionally selected to ensure standard pronunciation and clear articulation. The recorded text covers wake-up words, news, chats, and other information.

Join our newsletter to stay updated

Thank you for signing up!

Stay informed and ahead with the latest updates, insights, and exclusive content delivered straight to your inbox.

By subscribing you agree to with our Privacy Policy and provide consent to receive updates from our company.

Filter by
Filter by
Language
Filter by Languages
Language
Devices
Devices
Applicable Fields
Applicable Fields
More
Applicable Scenarios
Applicable Scenarios
More