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126 Language Resources (Page 2 of 7)

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 Canadian English Speech Recognition Corpus (Telephone) - place name    
  • English

ID: ELRA-S0228-90

ISLRN: 229-685-009-012-2

This corpus comprises 2,400 entries uttered by 150 speakers (106 males and 44 females), recorded over the telephone network. Speech samples are stored as a sequence of 16-bit 8 kHz for a total of 2.24 hours of speech.

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 Canadian English Speech Recognition Corpus (Telephone) - sentences    
  • English

ID: ELRA-S0228-87

ISLRN: 668-176-572-368-0

This corpus comprises 1,500 entries uttered by 150 speakers (106 males and 44 females), recorded over the telephone network. Speech samples are stored as a sequence of 16-bit 8 kHz for a total of 2.09 hours of speech.

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 Canadian English Speech Recognition Corpus (Telephone) - spell words    
  • English

ID: ELRA-S0228-88

ISLRN: 616-328-968-271-5

This corpus comprises 1,500 entries uttered by 150 speakers (106 males and 44 females), recorded over the telephone network. Speech samples are stored as a sequence of 16-bit 8 kHz for a total of 3.6 hours of speech.

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 Canadian French Speech Recognition Corpus (Mobile)    
  • French

ID: ELRA-S0228-72

ISLRN: 360-129-212-036-3

This corpus comprises 75,147 entries uttered by 50 speakers (25 males and 25 females), recorded over 3 channels (mobile quiet office). Speech samples are stored as a sequence of 16-bit 16kHz for a total of 25.67 hours of speech per channel.

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 Chilean Spanish Speech Recognition Corpus (Desktop)    
  • Spanish; Castilian

ID: ELRA-S0228-123

ISLRN: 557-651-877-071-0

This corpus was recorded in a quiet office environment over 4 channels and collected from a total of 200 speakers, including 101 males and 99 females, all of whom have been carefully screened to ensure their standard and clear pronunciation. The audio scripts cover information such as news. Speec...

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 Chilean Spanish Speech Recognition Corpus (Mobile)    
  • Spanish; Castilian

ID: ELRA-S0228-128

ISLRN: 910-593-882-283-4

This corpus was recorded in a quiet office/home environment over 3 channels and collected from a total of 300 speakers, including 138 males and 162 females, all of whom have been carefully screened to ensure their standard and clear pronunciation.The audio scripts cover information such as news, ...

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 France French Speech Recognition Corpus (Desktop)    
  • French

ID: ELRA-S0228-77

ISLRN: 426-097-330-749-5

This corpus comprises 49,982 entries uttered by 50 speakers (28 males and 22 females), recorded over 2 channels (desktop in quiet office). Speech samples are stored as a sequence of 16-bit 48kHz for a total of 22.06 hours of speech per channel.

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 French English Speech Recognition Corpus (Mobile)    
  • English

ID: ELRA-S0228-106

ISLRN: 773-552-358-100-9

This corpus was recorded in a quiet office/home environment over 3 channels and collected from a total of 225 speakers, including 107 males and 118 females, all of whom have been carefully screened to ensure their standard and clear pronunciation. The audio scripts cover information such as news ...

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 German English Speech Recognition Corpus (Mobile)    
  • English

ID: ELRA-S0228-107

ISLRN: 703-364-432-116-4

This corpus was recorded in a quiet office/home environment over 3 channels and collected from a total of 196 speakers, including 88 males and 108 females, all of whom have been carefully screened to ensure their standard and clear pronunciation. The audio scripts come from news and tweets. Speec...

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 German Kids Speech Recognition Corpus (Desktop)    
  • German

ID: ELRA-S0228-100

ISLRN: 623-099-052-821-2

This corpus comprises 9,572 entries uttered by 30 speakers (15 males and 15 females), recorded over 2 channels (desktop in quiet office/home). Speech samples are stored as a sequence of 16-bit 44.1kHz for a total of 4.25 hours of speech per channel.

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 German Speech Recognition Corpus (Desktop)    
  • German

ID: ELRA-S0228-81

ISLRN: 498-659-051-445-2

This corpus comprises 51,912 entries uttered by 52 speakers (26 males and 26 females), recorded over 2 channels (desktop in quiet office). Speech samples are stored as a sequence of 16-bit 48kHz for a total of 23.9 hours of speech per channel.

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 German Speech Recognition Corpus (Desktop+Mobile)    
  • German

ID: ELRA-S0228-120

ISLRN: 195-326-422-188-6

This corpus was recorded in a quiet office/home environment over 2 channels and collected from a total of 203 speakers, including 110 males and 93 females, all of whom have been carefully screened to ensure their standard and clear pronunciation. The audio scripts cover information such as keywor...

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 Hindi Speech Recognition Corpus (Desktop)    
  • Hindi

ID: ELRA-S0228-114

ISLRN: 198-341-627-529-5

This corpus was recorded in a quiet office environment over 4 channels and collected from a total of 196 speakers, including 95 males and 101 females, all of whom have been carefully screened to ensure their standard and clear pronunciation. The audio scripts cover information such as news and da...

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 Hindi Speech Recognition Corpus (Mobile)    
  • Hindi

ID: ELRA-S0228-125

ISLRN: 078-014-181-343-9

This corpus was recorded in both quiet and noisy environments over 3 channels and collected from a total of 180 speakers, including 99 males and 81 females, all of whom have been carefully screened to ensure their standard and clear pronunciation. The audio scripts cover information such as news....

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 Hong Kong Cantonese Speech Recognition Corpus (Desktop)    
  • Chinese

ID: ELRA-S0228-75

ISLRN: 083-033-068-532-0

This corpus comprises 101,964 entries uttered by 51 speakers, recorded over 4 channels (desktop). Speech samples are stored as a sequence of 16-bit 44.1kHz for a total of 24.18 hours of speech per channel.

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 Hong Kong English Speech Recognition Corpus (Mobile)    
  • English

ID: ELRA-S0228-127

ISLRN: 611-015-326-388-0

This corpus was recorded in a quiet office/home environment over 3 channels and collected from a total of 200 speakers, including 99 males and 101 females, all of whom have been carefully screened to ensure their standard and clear pronunciation.The audio scripts cover information such as news, f...

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