Project description
AI for advanced speech processing
Speech processing technologies are key for a range of business applications. The EU-funded ESPERANTO project holds that the next generation of AI algorithms used in speech processing should be more accessible. For instance, they should integrate human involvement in the loop and be decipherable to allow sensitive applications and preserve personal data. ESPERANTO envisages spreading these technologies to European SMEs, and expanding and securing their implementation for forensic, health and education purposes. The project will support the development of open-source tools, produce seminars on different speech processing themes to support new speech-AI students, researchers and engineers, and assist in the collection and sharing of linguistic and speech resources.
Fields of science
Programme(s)
Coordinator
72085 Le Mans
France
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Participants (10)
75724 Paris
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601 90 Brno Stred
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50009 Zaragoza
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38058 Grenoble
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84029 Avignon Cedex 01
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S10 2TN Sheffield
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75008 Paris
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2080 Ariana
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15125 Marousi
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
612 00 Brno
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partners (8)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
Yaounde
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
C1425FQB Buenos Aires
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
10 Santiago
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
12200 La Habana
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
94300 Kota Samarahan
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
11800 Penang
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
21218 Baltimore
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
H2S3H1 Montreal
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