Laboratory of Speech Recognition (LSR)

Head of Laboratory: 

With more than 20 years experience on the field we do speech recognition research and development and give training courses.

We research and develop speech-to-text engines for multiple languages (with an emphasis on Hungarian) and for various tasks: real-time, low latency applications, dictation systems or off-line mass transcription. Automatic speech recognition (ASR) – as a hot topic in Artificial Intelligence – is rooted profoundly in “deep learning” applying its entire arsenal, including GPU/TPU-based gradient calculations, supervised, semi-supervised and unsupervised learning and more.

Project laboratory topics

  • Conversational AI applications
  • End-to-end ASR
  • Semi-supervised acoustic modeling by the Fairseq toolkit
  • Unsupervised acoustic modeling using GAN (Generative Adversarial Network) technology
  • Low latency ASR inference for streaming using GPU’s
  • Neural Language modeling for ASR
  • Open-source ASR engine comparison

Description of the lectures


Media Informatic Systems  

Sound and Speech Recognition Technologies