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Description
NVIDIA's Parakeet-RNNT-1.1B is an advanced multilingual automatic speech recognition system designed to deliver high-quality transcriptions for various voice applications. Comprising 1.1 billion parameters and having been trained on over 90,000 hours of audio data, it accommodates 25 different languages along with their regional dialects, such as English, Spanish, French, German, Italian, Arabic, Japanese, Korean, Portuguese, Russian, Hindi, Dutch, Danish, Norwegian, Czech, Polish, Swedish, Thai, Turkish, and Hebrew. This innovative model possesses the capability to automatically identify the spoken language and employs a universal tokenizer that integrates language-specific tokenizers into a unified vocabulary for enhanced cross-lingual learning and deployment. Furthermore, Parakeet-RNNT generates transcripts that are case-sensitive, featuring both uppercase and lowercase letters, punctuation, spaces, and apostrophes, thus ensuring that the output meets the rigorous standards required for production-level voice applications and effective downstream language comprehension. Its versatility and robust performance make it a valuable tool in the realm of speech recognition technology.
Description
The multilingual T5 (mT5) is a highly versatile pretrained text-to-text transformer model, developed using a methodology akin to that of T5. This repository serves as a resource for replicating the findings outlined in the mT5 research paper.
mT5 has been trained on the extensive mC4 corpus, which encompasses 101 different languages, including but not limited to Afrikaans, Albanian, Amharic, Arabic, Armenian, Azerbaijani, Basque, Belarusian, Bengali, Bulgarian, Burmese, Catalan, Cebuano, Chichewa, Chinese, Corsican, Czech, Danish, Dutch, English, Esperanto, Estonian, Filipino, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Haitian Creole, Hausa, Hawaiian, Hebrew, Hindi, Hmong, Hungarian, Icelandic, Igbo, Indonesian, Irish, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Korean, Kurdish, Kyrgyz, Lao, Latin, Latvian, Lithuanian, Luxembourgish, Macedonian, Malagasy, Malay, Malayalam, Maltese, Maori, Marathi, Mongolian, Nepali, Norwegian, Pashto, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Samoan, Scottish Gaelic, Serbian, Shona, Sindhi, and many others. This impressive range of languages makes mT5 a valuable tool for multilingual applications across various fields.
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Training Docs
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Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
build.nvidia.com/nvidia/parakeet-1_1b-rnnt-multilingual-asr/modelcard
Vendor Details
Company Name
Founded
1998
Country
United States
Website
github.com/google-research/multilingual-t5