ASR

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Ethiopian Amharic Free Dialogue Speech Corpus
【Product Type】 Ethiopian Amharic language, free dialogue, mobile 16K 【Corpus Type】 Family, health, travel, education, work, cuisine, marriage, movies, music, socializing, celebrities, weather, sports, and other common topics of daily life. Natural context, applicable to all industries. 【Pronunciation Person Information】 Gender: Male 50%, Female 50% Age: The pronunciation people mainly cover the age range of 16-45. Accent: The pronunciation people mainly come from central Ethiopia.
Ethiopian Amharic Speech Recognition Corpus (Mobile)
This dataset was recorded in quiet office/home environments, with the participation of 400 speakers, including 220 males and 180 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.
European English Speech Recognition Corpus (Mobile)
This dataset was recorded in quiet office/home environments, with 700 speakers participating, including 344 males and 356 females. All speakers involved in the recording were professionally selected to ensure standard pronunciation and clear articulation. The recorded text is selected from news, daily conversations, tweets, and other sources.
Filipino 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 40 males and 60 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.
Filipino English Speech Recognition Corpus (Mobile)
This dataset was recorded in a quiet office/home setting, involving a total of 207 speakers, which included 95 males and 112 females. All participants who were involved in the recording process underwent professional screening to ensure that their pronunciation was standard and their articulation clear. The texts for the recordings encompass various types of information, including news and everyday conversations.
Filipino Speech Recognition Corpus (Mobile)
This dataset was recorded in both quiet office and home environments, with a total of 400 speakers participating, including 195 males and 205 females. All speakers involved in the recording were professionally screened to ensure standard pronunciation and clear articulation. The recorded texts cover a range of information including news and daily conversations.
Finnish Speech Recognition Corpus (Desktop)
This dataset was recorded in a quiet office environment, with a total of 200 speakers participating, including 92 males and 108 females. All speakers involved in the recording were professionally selected to ensure standard pronunciation and clear articulation. The recorded text covers daily conversations, news, and other information.
France French Conversational Speech Recognition Corpus (Mobile)
This dataset was recorded in a quiet office/home environment, with a total of 250 speakers participating, including 127 males and 123 females. All speakers involved in the recording were professionally selected to ensure standard pronunciation and clear articulation. The recorded text covers health, work, food, and other information.
France French Conversational Speech Recognition Corpus (Telephone)
This dataset was recorded in a quiet office/home environment, with a total of 240 speakers participating, including 124 males and 116 females. All speakers involved in the recording were professionally selected to ensure standard pronunciation and clear articulation. The recorded text covers food, entertainment, pets, and other information.

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