Continual learning using lattice-free MMI for speech recognition

no code implementations • 13 Oct 2021 • Hossein Hadian, Arseniy Gorin

Continual learning (CL), or domain expansion, recently became a popular topic for automatic speech recognition (ASR) acoustic modeling because practical systems have to be updated frequently in order to work robustly on types of speech not observed during initial training.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

End-to-end speech recognition using lattice-free MMI

no code implementations • Interspeech 2018 2018 • Hossein Hadian, Hossein Sameti, Daniel Povey, Sanjeev Khudanpur

We present our work on end-to-end training of acoustic models using the lattice-free maximum mutual information (LF-MMI) objective function in the context of hidden Markov models.

speech-recognition Speech Recognition

Active Learning in Noisy Conditions for Spoken Language Understanding

no code implementations • COLING 2014 • Hossein Hadian, Hossein Sameti

Active Learning Spoken Language Understanding