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  2. Hugging Face - Wikipedia

    en.wikipedia.org/wiki/Hugging_Face

    Hugging Face, Inc. is an American company incorporated under the Delaware General Corporation Law [1] ... Audio: automatic speech recognition and audio classification.

  3. Hugging Face cofounder Thomas Wolf says open-source AI’s ...

    www.aol.com/finance/hugging-face-cofounder...

    Hugging Face, of course, is the world’s leading repository for open-source AI models—the GitHub of AI, if you will. Founded in 2016 (in New York, as Wolf reminded me on stage when I ...

  4. Open-source artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Open-source_artificial...

    Hugging Face's MarianMT is a prominent example, providing support for a wide range of language pairs, becoming a valuable tool for translation and global communication. [63] Another notable model, OpenNMT, offers a comprehensive toolkit for building high-quality, customized translation models, which are used in both academic research and ...

  5. Startup Hugging Face aims to cut AI costs with open source ...

    www.aol.com/news/startup-hugging-face-aims-cut...

    Hugging Face on Wednesday said it is releasing a new open-source software offering with Amazon.com, Alphabet's Google and others aimed at lowering the costs for building chatbots and other AI systems.

  6. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Voice features extracted, ... Identification of microorganisms from mass-spectrometry data. ... This is the one associated with the dataset card in Hugging Face. 2021 ...

  7. Google Cloud partners with Hugging Face to attract AI ... - AOL

    www.aol.com/news/google-cloud-partners-hugging...

    The cloud computing arm of Alphabet Inc said on Thursday it had formed a partnership with startup Hugging Face to ease artificial intelligence (AI) software development in the company's Google Cloud.

  8. Speaker recognition - Wikipedia

    en.wikipedia.org/wiki/Speaker_recognition

    On the other hand, identification is the task of determining an unknown speaker's identity. In a sense, speaker verification is a 1:1 match where one speaker's voice is matched to a particular template whereas speaker identification is a 1:N match where the voice is compared against multiple templates.

  9. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    Classification, face recognition, voice recognition 2018 [82] [83] S.R. Livingstone and F.A. Russo SCFace Color images of faces at various angles. Location of facial features extracted. Coordinates of features given. 4,160 Images, text Classification, face recognition 2011 [84] [85] M. Grgic et al. Yale Face Database