Integrating meta-information into exemplar-based speech ...
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In this work we harvest meta-information from the set of best matching exemplars, that is thought to be relevant for the recognition such as word boundary ...
We used segmental conditional random fields [7], and more in partic- ular the SCARF toolkit [8] to incorporate the different feature values in a single ...
Mar 4, 2024 · Integrating this meta-information into the recognition framework using segmental conditional random fields, reduced the WER of the exemplar ...
Random Fields to integrate new sources of information on top of state-of-the-art baselines in two different ASR tasks. By using fea- tures based on template ...
Missing: exemplar- | Show results with:exemplar-
2011. Integrating meta-information into exemplar-based speech recognition with segmental conditional random fields ... in example based automatic speech ...
... Exemplar-based Speech Recognition Using ... Integrating meta-information into exemplar-based speech recognition with segmental conditional random fields.
ABSTRACT A series of annual research workshops on Intelligent Information Systems, centered on machine learning for speech, language and vision technologies ...
Integrating meta-information into exemplar-based speech recognition with segmental conditional random fields · Conference Paper · Full-text available. May 2011.
Aug 5, 2024 · Integrating meta-information into exemplar-based speech recognition with segmental conditional random fields. ICASSP 2011: 5048-5051; 2010.
... Speech-Based Approach � A. BatlinerDino ... Integrating meta-information into exemplar-based speech recognition with segmental conditional random fields.