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About End-To-End Speech Recognition Models
This doctoral thesis presents an end-to-end speech recognition model called Listen, Attend and Spell. The model directly maps speech audio to text without relying on hidden Markov models or conditional independence assumptions. It jointly learns the pronunciation, acoustic, and language models using a neural attention mechanism. Evaluation on various speech recognition tasks shows competitive or state-of-the-art performance compared to hidden Markov model and connectionist temporal classification based systems.
Detailed Information
| Author: | ['DIPESH'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 94 |
| Language: | English |
| Format: | |
| Price: | FREE |
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