An Equal Data Setting for Attention-Based Encoder-Decoder and HMM/DNN Models: A Case Study in Finnish ASR

Hakutulokset

• Päättynyt

  MeMAD: Methods for Managing Audiovisual Data: Combining Automatic Efficiency with Human Accuracy

  Kurimo, M., Grönroos, S., Brander, T., Porjazovski, D., Raitio, R., Rouhe, A., Grósz, T. & Virkkunen, A.

  27/12/2017 → 31/03/2021

  Projekti: EU: Framework programmes funding

  • Models 100%
  • Segmentation 56%
  • Speech Recognition 55%
  • Embedding 37%
  • Deep Neural Network 34%