2017/08/01 · We study end-to-end segmental models with different weight functions, including ones based on frame-level neural classifiers and on segmental ...
2017/08/15 · Abstract—Segmental models are an alternative to frame-based models for sequence prediction, where hypothesized path weights.
2017/08/15 · We study end-to-end segmental models with different weight functions, including ones based on frame-level neural classifiers and on segmental ...
This work reviews neural segmental models, which can be viewed as consisting of a neural network-based acoustic encoder and a finite-state transducer ...
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End-to-end neural segmental models for speech recognition
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2017/09/14 · We study end-to-end segmental models with different weight functions, including ones based on frame-level neural classifiers and on segmental ...
This work reviews neural segmental models, which can be viewed as consisting of a neural network-based acoustic encoder and a finite-state transducer ...
We study the segmental recurrent neural network for end-to-end acoustic modelling. This model connects the segmental conditional random field (CRF) with a ...
Bibliographic details on End-to-End Neural Segmental Models for Speech Recognition.
End-to-end neural segmental models for speech recognition · School of Informatics · Institute of Language, Cognition and Computation · Centre for Speech Technology ...
We analyze utterance-level representations of speech models trained for various tasks such as speaker recognition and dialect identification.