Astraios Courses2771
hasCourse

Speech recognition  

Description

Aims The aim of this module is to introduce the issues in speech recognition and discuss the statistical and deep learning approaches used to build automatic speech recognition (ASR) systems. Outcome: On completion of this module, students should understand: hidden Markov acoustic models, N-gram language models, and their use in speech recognition the use of various neural network acoustic models how large vocabulary speech recognition operates feature extraction and processing techniques for adaptation discriminative sequence training procedures end-to-end trainable speech recognition approaches.

Delivery mode

Presential
English

Name

Speech recognition
English

UNIVERSITY OF TWENTE

Faculty of Geo-Information Science and Earth Observation

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