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

  Authors

Lebar Bajec, Iztok ; Bajec, Marko and Bajec, Žan

  Item identifier

http://hdl.handle.net/11356/1740

 Project URL

https://github.com/clarinsi/Slovene_ASR_e2e

 Referenced by

https://rsdo.slovenscina.eu/en/speech-technologies

 Date issued

2022-12-01

 Type

toolService

 Description

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.

 Publisher

Faculty of Computer and Information Science, University of Ljubljana

 Acknowledgement

Ministry of Culture C3340-20-278001 "Development of Slovene in a Digital Environment"

 Subject(s)

speech recognition NeMo service

 Collection(s)

CLARIN.SI data & tools

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