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  • NeMo Punctuation and Capitalisation service RSDO-DS2-P&C-API 1.0

    Punctuation and Capitalisation service for NeMo models. For more details about building such models, see the official NVIDIA NeMo documentation (https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/nlp/punctuation_and_capitalization.html) and NVIDIA NeMo GitHub (https://github.com/NVIDIA/NeMo). A model for punctuation and capitalisation restoration in lowercased non-punctuated Slovene text can be downloaded from http://hdl.handle.net/11356/1735. The service accepts as input either a single string or list of strings for which punctuation and capitalisation should be restored. The result will be in the same format as the request, either a single string or list of strings. The maximal accepted text length is 5000c. Note that punctuation and capitalization of one 5000c text block on cpu will take advantage of all available cores and may take ~30s (on a system with 24 vCPU). See the service README.md for further details.

  • NeMo Neural Machine Translation service RSDO-DS4-NMT-API 1.0

    Neural Machine Translation service for NeMo AAYN Base models. For more details about building such models, see the official NVIDIA NeMo documentation (https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/nlp/machine_translation/machine_translation.html) and NVIDIA NeMo GitHub (https://github.com/NVIDIA/NeMo). A model for language pair SL-EN can be downloaded from http://hdl.handle.net/11356/1736. The service accepts the source language and target language, and either a single string or list of strings to be translated. The result will be in the same format as the request, either as a single string or list of strings. The maximal accepted text length is 5000c. Note that transcription of one 5000c text block on cpu will take advantage of all available cores, consume up to 3GB RAM and may take ~200s (on a system with 24 vCPU). See the service README.md for further details.

  • NeMo Conformer CTC BPE E2E Automated Speech Recognition service RSDO-DS2-ASR-E2E-API 1.1

    Automated Speech Recognition service for NeMo Conformer CTC BPE E2E models. For more details about building such models, see the official NVIDIA NeMo documentation (https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/asr/intro.html) and NVIDIA NeMo GitHub (https://github.com/NVIDIA/NeMo). A model for automated speech recognition of Slovene speech can be downloaded from http://hdl.handle.net/11356/1740. The service accepts as input audio files in WAV 16kHz, 16bit PCM, mono format. The maximal accepted audio duration is 300s. Note that transcription of one 300s audio file on cpu will take advantage of all available cores, consume up to 16GB RAM and may take ~180s (on a system with 24 vCPU). See the service README.md for further details.